Guest Lecture by Prof. Jing Sun, University of Michigan, Ann Arbor, on "Predictive Control of Integrated Power Systems for Electrified Vehicles"

4 November 2014 at 11:15-12:00
Room T3, Marine Technology Centre

Guest Lecture by Prof. Jing Sun, University of Michigan, Ann Arbor, on "Predictive Control of Integrated Power Systems for Electrified Vehicles"

4 November 2014 at 11:15-12:00
Room T3, Marine Technology Centre

Guest Lecture by Prof. A. Pedro Aguiar, University of Porto, on "Cooperative Navigation and Motion Control of Multiple Marine Autonomous Robotic Vehicles"

31 October 2014 at 11:15-12:00
Room B343, Electro building B, Gløshaugen campus (map)

Guest Lecture by Prof. A. Pedro Aguiar, University of Porto, on "Cooperative Navigation and Motion Control of Multiple Marine Autonomous Robotic Vehicles"

31 October 2014 at 11:15-12:00
Room B343, Electro building B, Gløshaugen campus (map)

ABSTRACT

This talk addresses the general topic of cooperative navigation and motion control of marine autonomous robotic vehicles, both from a theoretical and a practical standpoint. The presentation is rooted in practical developments and experiments. Examples of scientific mission scenarios with autonomous surface vehicles (ASVs) and autonomous underwater vehicles (AUVs), acting alone or in cooperation, set the stage for the main contents of the presentation. From a theoretical standpoint, special attention is given to a number of challenging problems that include: cooperative motion control strategies of a fleet of autonomous vehicles in the presence of complex vehicle dynamics and severe acoustic-based navigation and communication constraints, where the latter are imposed by intermittent failures and latency; nonlinear control, optimal control, minimum-energy estimators, and networked control. The efficacy of some of the systems developed will be illustrated with videos from actual field tests with multiple marine robots and a human diver in the loop.

Short Bio:

A. Pedro Aguiar - PhD in Electrical Engineering from the Instituto Superior Técnico (IST), Lisbon, Portugal. Currently, Dr. Aguiar holds an Associate Professor position with the Department of Electrical and Computer Engineering (DEEC), Faculty of Engineering, University of Porto (FEUP). From 2002 to 2005, he was a post-doctoral researcher at the Center for Control, Dynamical-Systems, and Computation at the University of California, Santa Barbara (UCSB). From 2005 to 2012, he was a senior researcher with the Institute for Systems and Robotics at IST (ISR/IST), and an invited assistant professor with the DEEC of IST. Expertise in Dynamical Systems Theory, Trajectory Tracking and Path Following Techniques, Nonlinear Control, and Networked Control and Estimation. Associate Editor of IFAC Automatica.

Welcome!

3 Days Seminar on Sensor Fusion: Professor Fredrik Gustafsson, Linköping University

20 Oct at 13:15-15:00  (Sensor Networks)
21 Oct at 13:15-16:00 (UKF with an EKF perspectiv and particle filters)
22 Oct at 16:15-18:00 (SLAM as an application of EKF and particle filters)
    - Room B-343, Elektro Bld. D, Gløshaugen

 

3 Days Seminar on Sensor Fusion: Professor Fredrik Gustafsson, Linköping University

20 Oct at 13:15-15:00  (Sensor Networks)
21 Oct at 13:15-16:00 (UKF with an EKF perspectiv and particle filters)
22 Oct at 16:15-18:00 (SLAM as an application of EKF and particle filters)
    - Room B-343, Elektro Bld. D, Gløshaugen

 

AMOS welcome Professor Frederik Gustafsson from Linköping University, Sweden. Professor Gustafsson is one of the authorites on sensor fusion and he will be giving a series on lectures in the period 20-22 October 2014.

About the Speaker: Fredrik Gustafsson is a professor in Sensor Informatics at Department of Electrical Engineering, Linköping University, since 2005. He received the M.Sc. degree in electrical engineering 1988 and the PhD degree in Automatic Control, 1992, both from Linköping University. During 1992-1999 he held various positions in automatic control, and 1999-2005 he was professor in Communication Systems.

Research interests: His research interests are in stochastic signal processing, adaptive filtering and change detection, with applications to communication, vehicular, airborne and audio systems.

Editorships: He was an associate editor for IEEE Transactions of Signal Processing 2000-2006 and Journal on Observations and Navigation 2008-2011. He is currently associate editor for EURASIP Journal on Applied Signal Processing and IEEE Transactions on Aerospace and Electronic Systems. He was head of the Signal and Systems review panel for the Swedish Research Council (VR) 2009, 2011 and 2012.

Fellowships: Distinguished Professor (rådsprofessor) awarded from the Swedish Research Council 2015-2024. IEEE Fellow (2011). Elected member of the Royal Academy of Engineering Sciences (IVA) 2007.

Awards: Arnberg prize 2004 from the Royal Swedish Academy of Science (KVA). SAAB award in the name of former CEO Åke Svensson 2011.
Harry Rowe Mimno Best Paper Award 2011 for the tutorial "Particle Filter Theory and Practice with Positioning Applications", which was published in the IEEE AESS Magazine in July 2010. Entrepreneurial researcher of the year at Linköping University, 2012.

 


3rd PROST seminar in 2014: Prof. David Q. Mayne, Imperial College London, on tube-based control of constrained nonlinear systems

15 October 2014 at 12:30-13:30
Room K4-203, Chemistry builing 4, Gløshaugen campus

This seminar is in addition to the two lectures on MPC stability and robustness that David Q. Mayne gives 13 and 14 October 2014.

3rd PROST seminar in 2014: Prof. David Q. Mayne, Imperial College London, on tube-based control of constrained nonlinear systems

15 October 2014 at 12:30-13:30
Room K4-203, Chemistry builing 4, Gløshaugen campus

This seminar is in addition to the two lectures on MPC stability and robustness that David Q. Mayne gives 13 and 14 October 2014.

"David Quinn Mayne's wide collection of research contributions has had tremendous impact on the development of control theory. Among these, the most important is his work in optimizing model predictive control (MPC), in which he provided a rigorous mathematical basis for analyzing MPC algorithms. His framework for studying the stability of MPC loops has become highly influential in MPC, whose impact can be seen in today's high-speed electromechanical, aerospace and automotive systems.

Dr. Mayne was the first to describe what is now known as "particle filtering," which is one of the central building blocks in nonlinear filtering. These methods are used in a vast array of applications including vehicle autopilots, aircraft tracking and the prediction of commodity prices. He also introduced the concept of differential dynamic programming as a method for solving optimal control problems and provided early guidelines for adaptive control.

An IEEE Life Fellow, Dr. Mayne is currently an emeritus professor and senior research investigator at Imperial College London."

Guest Lecture by Prof. Jonathan Tu, UC Berkeley, on "Data-Driven Approaches for Overcoming Temporal Sampling Rate Limitations in Particle Image Velocimetry"

15 October 2014 at 10:15-11:00
Room T3, Marine Technology Centre, Tyholt campus

Guest Lecture by Prof. Jonathan Tu, UC Berkeley, on "Data-Driven Approaches for Overcoming Temporal Sampling Rate Limitations in Particle Image Velocimetry"

15 October 2014 at 10:15-11:00
Room T3, Marine Technology Centre, Tyholt campus

ABSTRACT

Particle image velocimetry (PIV) is a powerful tool in the arsenal of measurement techniques available to fluid flow experimentalists.
The resulting velocity data are both spatially distributed and quantitative, enabling rigorous global analysis.
However, when studying fluid flows with complex temporal dynamics, the use of PIV is often constrained by limitations on the maximum sampling rate.
In this talk, I will present two data-driven approaches to dealing with this issue, leveraging techniques from control theory and signal processing to extend the capabilities of existing equipment.
I will focus specifically on the challenge of identifying characteristic flow frequencies and their associated spatial structures using sub-Nyquist-rate PIV.
The first approach that I will discuss uses slowly sampled PIV data in combination with a fast probe signal.
These data are post-processed with a Kalman smoother, which produces a time-resolved estimate of the flow field evolution.
Spectral analysis can then be done using the estimated velocity fields, for instance using dynamic mode decomposition.
I will also describe a compressed sensing approach that takes advantage of sparsity and random sampling strategies to avoid aliasing, making it possible to circumvent the Nyquist-Shannon sampling criterion.
The capabilities of each approach will be demonstrated using data collected from bluff-body wake experiments.

BIO

Jonathan Tu is currently a postdoctoral scholar at the University of California, Berkeley, where he studies the hydrodynamics of flagellar locomotion under Profs. Murat Arcak and Michel Maharbiz.
His work is part of a collaborative effort to design and manufacture millimeter-scale microbiorobots.
Previously, Jonathan studied at Princeton University, where he earned a Ph. D. working on flow control problems with Prof. Clancy Rowley.
Prior to that Jonathan attended the University of Washington, where he earned Bachelor's degrees in both Aeronautics/Astronautics and Mathematics.
His research looks to bring advanced tools from control and dynamical systems theory to bear in fluid mechanics.
In particular, he is interested in using data-driven methods such as modal decomposition, compressed sensing, and machine learning to model and control fluid mechanical systems.
 

Guest Lecture by Professor Murat Arcak, UC Berkeley, on "An Input/Output Approach to Networked Dynamical Systems"

14 October 2014 at 13:15-14:00
Room B343, Gløshaugen

Guest Lecture by Professor Murat Arcak, UC Berkeley, on "An Input/Output Approach to Networked Dynamical Systems"

14 October 2014 at 13:15-14:00
Room B343, Gløshaugen

Abstract

We will present a compositional approach that uncovers the dynamical properties of a networked system by exploiting input-output properties of the subsystems and the structure of their interconnection. This approach overcomes the complexity of a large-scale, nonlinear network model by abstracting important input-output properties from more detailed dynamical models describing the subsystems.  We will illustrate this approach with examples from synthetic biology, multi-agent systems, and traffic networks. These examples will also serve to exhibit special interconnection structures and input-output properties that are compatible with these structures. We will then present a large-scale optimization technique to search for input-output properties that certify a prescribed network performance criterion for a given interconnection.
Biosketch

Murat Arcak is a professor at UC Berkeley in the Electrical Engineering and Computer Sciences Department. He received a B.S. degree in Electrical Engineering from the Bogazici University, Istanbul, Turkey (1996) and M.S. and Ph.D. degrees from the University of California, Santa Barbara (1997 and 2000). His research is in dynamical systems and control theory with applications to synthetic biology and multi-agent systems. He received a CAREER Award from the National Science Foundation in 2003, the Donald P. Eckman Award from the American Automatic Control Council in 2006, and the Control and Systems Theory Prize from the Society for Industrial and Applied Mathematics (SIAM) in 2007. He is a member of SIAM and a fellow of IEEE.

URL: http://www.eecs.berkeley.edu/Faculty/Homepages/arcak.html


2 Guest Lectures by Professor David Q. Mayne, Imperial College London, on "MPC Stability and Robustness"

1st lecture: 13 October 2014 at 09:15-11:00 in H1, Gløshaugen campus
2nd lecture: 14 October 2014 at 14:15-16:00 in EL4, Gløshaugen campus

2 Guest Lectures by Professor David Q. Mayne, Imperial College London, on "MPC Stability and Robustness"

1st lecture: 13 October 2014 at 09:15-11:00 in H1, Gløshaugen campus
2nd lecture: 14 October 2014 at 14:15-16:00 in EL4, Gløshaugen campus

The lectures will be based on Chapter 2 and 3 in his book with Jim Rawlings, "Model Predictive Control: Theory and Design".

Professor Mayne is a legend in the automatic control community, see Wikipedia and IEEE Global History Network (from which the below is copied):

"David Quinn Mayne's wide collection of research contributions has had tremendous impact on the development of control theory. Among these, the most important is his work in optimizing model predictive control (MPC), in which he provided a rigorous mathematical basis for analyzing MPC algorithms. His framework for studying the stability of MPC loops has become highly influential in MPC, whose impact can be seen in today's high-speed electromechanical, aerospace and automotive systems.

Dr. Mayne was the first to describe what is now known as "particle filtering," which is one of the central building blocks in nonlinear filtering. These methods are used in a vast array of applications including vehicle autopilots, aircraft tracking and the prediction of commodity prices. He also introduced the concept of differential dynamic programming as a method for solving optimal control problems and provided early guidelines for adaptive control.

An IEEE Life Fellow, Dr. Mayne is currently an emeritus professor and senior research investigator at Imperial College London."
 

Guest Lecture by Associate Professor Ulrik Dam Nielsen, Technical University of Denmark, on safe and efficient ship operations in a seaway – response‐based sea state estimation used in onboard DSS

30 September 2014 at 12:00-12:45
Room AMOS 2, Marine Technology Centre, Tyholt

Guest Lecture by Associate Professor Ulrik Dam Nielsen, Technical University of Denmark, on safe and efficient ship operations in a seaway – response‐based sea state estimation used in onboard DSS

30 September 2014 at 12:00-12:45
Room AMOS 2, Marine Technology Centre, Tyholt

About the presentation

Safe and efficient ship operations in a seaway – Response‐based sea state estimation used in onboard DSS

by Assoc. prof. Ulrik Dam Nielsen

The presentation focuses mainly on work made in relation to the wave buoy analogy, where the central point is to use available wave‐induced global vessel responses (motion components, accelerations, hull girder strains, etc.) to make on‐site sea state estimation from an advancing ship in a seaway. Thus, within technical ship operations at sea – and more generally for all maritime operations – knowledge of the onsite sea state can be used to improve both safety and efficiency. In particular, this type of sea state estimation can provide fundamental information to control‐ and decision support systems (DSS), which also include the area of dynamic positioning, where the sea state estimate can be used for feed‐forward control, improving both station‐keeping behaviour and fuel consumption. Moreover, vessel performance systems for onboard as well onshore (‘in‐house office') fleet analyses gain advantage by having available continuous estimates of the sea state at the particular position.

Guest Lecture by Professor Mark A. Moline, University of Delaware, USA, on applications for autonomous underwater vehicles

24 September 2014 at 16:15-17:00
Aud. T2, Marine Technology Centre, Tyholt

Guest Lecture by Professor Mark A. Moline, University of Delaware, USA, on applications for autonomous underwater vehicles

24 September 2014 at 16:15-17:00
Aud. T2, Marine Technology Centre, Tyholt

AMOS is currently hosting one of our international collaborators, Professor Mark A. Moline, from the University of Delaware, USA.

Professor Mark Moline is regarded as one of the pioneers in operation of autonomous underwater vehicles including sensors.

Professor Mark A. Moline obtained BA degree in Biology in 1986 from St. Olaf College, and PhD degree in Oceanography from the University of California, Santa Barbara in 1996. After a year-long post-doctoral fellowship at Rutgers University, Moline became a Professor at California Polytechnic State University.  During his tenure at Cal Poly, Moline received numerous national awards including the New Investigator Award from NASA, the Young Investigation Award from the Office of Naval Research and the Presidential Early Career Award for Scientists and Engineers.  In 2004, Moline established the Center for Coastal Marine Sciences and was the founding Director until 2012.  In 2010, Moline became a co-founder of the NTNU spin-off company Ecotone AS.  In 2011, Moline was named the Fulbright's Distinguished  Arctic Chair and served in that position at the University Centre in Svalbard.  In 2012, Moline became the Director of the School of Marine Science and Policy at the University of Delaware, overseeing activity of 40 faculty, 25 staff, 250 students, a satellite campus, and a regional class research vessel.  Moline has published over 150 peer-review articles on biological oceanography, marine ecology, polar biology, bioluminescence, underwater robotics, ocean observation networks, and scales of dynamics in the marine environment. 

Guest Lecture by Professor Louis L. Whitcomb and Dr Christopher McFarland, Johns Hopkins University, USA, on underwater operations and robotics

7 August 2014 at 11:15-12:00
Room T3, Marine Technology Centre, Tyholt

AMOS is welcoming members of a world leading research group on underwater robotics.

Guest Lecture by Professor Louis L. Whitcomb and Dr Christopher McFarland, Johns Hopkins University, USA, on underwater operations and robotics

7 August 2014 at 11:15-12:00
Room T3, Marine Technology Centre, Tyholt

AMOS is welcoming members of a world leading research group on underwater robotics.

Professor Louis L. Whitcomb and Dr. Christopher McFarland are returning from an expedition in the arctic oceans after successful testing the new ROV Nereid-UI's first under-ice deployments.

News note from Louis

Dear Colleagues:

We are presently at 71° 10.627′ N 17° 19.843′ E in transit to Tromso, Norway, after conducting Nereid-UI's first under-ice deployments during the July 2014 R/V Polarstern PS86 expedition at 86° N 6 W° in the Arctic Ocean - near the Aurora hydrothermal vent site on the Gakkel Ridge approximately 200 km NE of Greenland.  We conducted 4 dives to evaluate and develop Nereid-UI's overall functioning and its individual engineered subsystems including energy storage, propulsion, ice-relative underwater navigation, fiber-optic tether, underwater acoustic telemetry, radio-frequency (RF) telemetry, command and control, acoustically controlled semi-autonomous operation, buoyancy, emergency localization, and launch/recovery operations.  We also conducted Nereid-UI's first science operations including targeted high-resolution vertical profiling; constant distance from ice or constant depth survey, primarily for IR/radiance measurements and electronic still camera imaging, multibeam under-ice topography mapping, high-definition optical imaging of the upper water column, under-ice biology, and under-ice topography.

Each of the four dives commenced with deployment of the acoustic telemetry and ranging package from the ship's moon pool. Nereid-UI and its mated tow-body/depressor were then deployed from Polarstern‘s starboard deck just aft of the CTD station into an open pool of water created by the ship's main propellers and bow/stern thrusters.  After preliminary checkout of Nereid-UI on the surface, Nereid-UI was piloted to 26 m depth while the depressor/towbody was lowered to about 23 m depth, where a full checkout of all vehicle systems was completed.

After remote-controlled release of the tow-body from the depressor, Nereid-UI was piloted at 40 m depth to its planned site of operation under a floe. Dead-reckoning (Ice-locked Doppler sonar and north-seeking gyrocompass) complemented by acoustic ranging provided excellent navigation throughout the dives, and supports closed-loop control of heading, depth, and XY position relative to the ice. Science operations included multibeam transects of under-ice topography, precision vertical profiles for the bio-sensor suite and IR/radiance sensor suite, IR/radiance/multibeam transects at constant depth interlaced with vertical profiles and upward-looking digital still-camera surveys of the ice, inclluding areas rich with algal material.   The fiber-optic tether remained intact throughout most of all 4 dives.  Consistent with the Nereid-UI concept of operations, in 3 of 4 dives the fiber-optic tether eventually failed, and the vehicle was then commanded acoustically in a series of short-duration maneuvers to return to Polarstern before surfacing in an open pool on Polarstern's starboard side.   RF communications enabled the pilot to maneuver the vehicle around small surface floes to the ship's side for recovery.

These preliminary dives were each 5 hours in duration, with Nereid-UI ranging up to 800 m from Polarstern at a maximum depth of 45 m and traveling up to 3.7 km under the moving sea ice.

The Woods Hole Oceanographic Institution and collaborators from the Johns Hopkins University and the University of New Hampshire have developed for the Polar Science Community a remotely-controlled underwater robotic vehicle capable of being teleoperated under ice under remote real-time human supervision.  The Nereid Under-Ice (Nereid-UI) vehicle will enable exploration and detailed examination of biological and physical environments including the ice-ocean interface in marginal ice zones, in the water column of ice-covered seas, at glacial ice-tongues, and ice-shelf margins, delivering realtime high-definition video in addition to survey data from on board acoustic, optical, chemical, and biological sensors. The vehicle employs a novel lightweight fiber-optic tether that will enable it to be deployed from a ship to attain standoff distances of up to 20 km from an ice-edge boundary under the real-time remote control of its human operators, providing real-time high-resolution optical and acoustic imaging, environmental sensing and sampling, and, in the future, robotic intervention. The goal of the Nereid-UI system is to provide scientific access to under-ice and ice-margin environments that is presently impractical or infeasible.

The Nereid-UI at-sea team on Polarstern PS86 is Christopher R. German (science lead and PI of the NOAA grant that funded these PS86 Nereid-UI ops, and CO-PI on the Nereid-UI NSF MRI development grant), Michael V. Jakuba (Nereid-UI engineering and ops lead), John Bailey, Steve Elliott, Christopher Judge, and Stefano Suman, all from WHOI, and Christopher McFarland and myself from JHU.  I am a CO-PI of Nereid-UI NSF MRI Grant that funded Nereid-UI's development.  Christopher McFarland is the lead developer of the ship-based navigation system that we used to remotely guide Nereid-UI, submerged under moving ice, back to the ship.

Nereus development was supported by NSF OPP (ANT-1126311), WHOI, James Family Foundation, and George Frederick Jewett Foundation East. Nereid-UI PS86 operations were supported by NOAA-OER, PS86 Chief Scientist Antje Boetius, and the Captain and Crew of the R/V Polarstern PS86.

We are grateful to the many engineers and scientists who supported the Nereid-UI development and operations efforts before and during this expedition including the WHOI Deep Submergence Operations Group and the WHOI Acoustic Communications Group. The ships officers, crew, science party, and Chief Scientist Dr. Antje Boetius have been wonderful.

More information about Nereid-UI and the multiple scientific and engineering objectives of this expedition are available here http://www.whoi.edu/main/nereid-under-ice and here http://www.marum.de/en/ARK-XXVIII3.html

Our present location is available here: http://www.awi.de/en/infrastructure/ships/polarstern/where_is_polarstern .


Guest lecture by Professor Gianluca Antonelli, University of Cassino and Southern Lazio, on "Control problems for floating-base manipulators"

23 April 2014 at 10:15-11:30
EL6, Elektro, Gløshaugen

Guest lecture by Professor Gianluca Antonelli, University of Cassino and Southern Lazio, on "Control problems for floating-base manipulators"

23 April 2014 at 10:15-11:30
EL6, Elektro, Gløshaugen

Abstract

The University of Cassino is currently involved in two projects considering the use of floating base manipulators. One scenario concerns autonomous aerial platforms while the other autonomous underwater vehicles. In both cases two vehicles should cooperatively grasp and transport an object. The lecture will address possible kinematic and dynamic strategies to the case study under concern. Preliminary numerical simulation and experimental results will be shown.

Biosketch

Gianluca Antonelli is an Associate Professor at the "University of Cassino and Southern Lazio''. His research interests include marine and industrial robotics, multi-agent systems, identification. He has published 32 international journal papers and more than 90 conference papers, he is author of the book "Underwater Robots'' (Springer-Verlag, 2003, 2006, 2014) and co-authored the chapter ``Underwater Robotics'' for the Springer Handbook of Robotics, (Springer-Verlag, 2008). He has been scientific responsible of the European project Co3AUVs, Associate Editor for ECHORD and researcher for ARCAS and EUROC. He served both as independent expert and reviewer for the European FP calls several times since 2006. He is chair of the IEEE RAS Chapter of the IEEE-Italy section, he has been Chair of the IEEE Robotics and Automation Society (RAS) Technical Committee in Marine Robotics. He serves/served in the Editorial Board of the IEEE Transactions on Robotics, IEEE Transactions on Control Systems Technology, Springer Journal of Intelligent Service Robotics, he is Editor for the RAS Conference Editorial Board.

URL: http://www.eng.docente.unicas.it/gianluca_antonelli
 


Guest lecture by Professor João Borges de Sousa, University of Porto, on networked vehicles for maritime operations: design and implementation

14th January 2014 at 13:15-14:30
Room B343, Gløshaugen, Elektro Bld. D

Guest lecture by Professor João Borges de Sousa, University of Porto, on networked vehicles for maritime operations: design and implementation

14th January 2014 at 13:15-14:30
Room B343, Gløshaugen, Elektro Bld. D

Professor Sousa's research group is a collaborator on AMOS, with a focus on coordinated operations involving UAVs (unmanned aerial vehicles) and AUVs (autonomous underwater vehicles).


Guest lecture by Dr Rune Storvold, NORUT, on NORUT's technical and operational experience with UAV's for remote sensing

15 October 2013 at 13:15-15:00
Room B343, Gløshaugen, Elektro Bld. D
About the speaker

Guest lecture by Dr Rune Storvold, NORUT, on NORUT's technical and operational experience with UAV's for remote sensing

15 October 2013 at 13:15-15:00
Room B343, Gløshaugen, Elektro Bld. D
About the speaker

About the speaker

1991: Cand. Mag, University of Bergen.
1993: Cand. Scient. University of Bergen.
2001: Ph.D. University of Alaska Fairbanks.
Ph.D. thesis: Stratospheric ozone depletion and spectroscopic trace gas measurements

Research topics

Arctic cloud, aerosol, and radiation interaction, and retrieval of cloud and surface properties from ground-based and space-born sensors. Parameterization of Arctic clouds and surface properties in GCM models. High latitude stratospheric ozone chemistry and retrieval of trace gases using optical spectroscopy.


Guest lecture by Dr Francesco Di Corato, University of Pisa, on a unified framework for constrained visual-inertial navigation

15 November 2013 at 10:15-11:00
Room B343, Gløshaugen, Elektro Bld. D

The presentation will focus on loosely-coupled fusion of visual and inertial data for autonomous navigation.
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Guest lecture by Dr Francesco Di Corato, University of Pisa, on a unified framework for constrained visual-inertial navigation

15 November 2013 at 10:15-11:00
Room B343, Gløshaugen, Elektro Bld. D

The presentation will focus on loosely-coupled fusion of visual and inertial data for autonomous navigation.
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Abstract

Inertial navigation suffers from drifts due to several factors, in particular inertial sensor measurement errors. A viable alternative to classical aiding sensors used for Aided Inertial Navigation (integration with GPS, air data sensors, velocity loggers, …) is the adoption of a vision system that estimates the motion of the camera given a stream of successive images and image features tracked over time. Navigation via fusion of visual and inertial data is perhaps the most straightforward inspired-by-Nature approach, having direct evidences in daily living.

The presentation will be focused on the loosely-coupled fusion of visual and inertial data for autonomous navigation, by using visual measurements in the form of implicit constraints. A brief overview of the general problem of visual-inertial navigation will be given, together with a review of the most relevant approaches in the literature. The following discussion will largely concentrate on constrained visual-inertial navigation: in particular the convergence properties of the estimation, some implementation and robustness issues, the constrained optimal estimation schemes for the fusion of the inertial measurements with the visual measurements will be covered. The results presented will be supported with simulative and experimental results.

It is assumed that the audience has a background in mathematics, with some concepts of continuous/discrete-time dynamical systems, reference systems transformation and few notions of stochastic processes and optimal filtering (The discussion will be concentrated on the use of the Constrained Kalman Filter).

About the Speaker

Dr Francesco Di Corato received the Master of Science degree with honors in Automation Engineering at University of Pisa in October, 2008. In June, 2103 he received the PhD in Automation, Robotics and Bioengineering from the University of Pisa, with a Dissertation titled: "A Unified Framework for Constrained Visual-Inertial Navigation with Guaranteed Convergence". The PhD Thesis concerned the use of visual constraints to the problem of aided inertial navigation in unstructured dynamic environments and the probabilistic vision-based robust pose estimation of bodies with known geometry. He is currently working at University of Pisa as research assistant on Guidance, Navigation and Control of high performance underwater vehicles.

His research interests mainly concern aided inertial navigation, robust Bayesian filtering, the adoption of Computer Vision for the interpretation of the environment, Guidance, Navigation and Control of underwater vehicles and Entropy-based exploration. During his research activity, he was enrolled in National and International projects, mainly in the framework of guidance, navigation and control of autonomous vehicles. In the period January-July 2011 he was Visiting Scholar at Vision Lab – University of California, Los Angeles, under the supervision of prof. Stefano Soatto.


Guest lecture by professor Andrew R. Teel, UCSB, on stochastic hybrid systems with an application to global almost sure synchronization of planar orientation

9 September 2013 at 13:45-14:45
Room B343, Gløshaugen, Elektro Bld. D
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Guest lecture by professor Andrew R. Teel, UCSB, on stochastic hybrid systems with an application to global almost sure synchronization of planar orientation

9 September 2013 at 13:45-14:45
Room B343, Gløshaugen, Elektro Bld. D
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Abstract

The variables of a hybrid dynamical system can change both continuously and discontinuously. The type of change that occurs is dictated by where the variables are in the state space. Many new results on the analysis and synthesis of hybrid control systems have been developed over the last decade. Our latest research focuses on extending these results to a class of stochastic hybrid systems. In particular, we analyze the situation where the value to which the state jumps is affected by a random variable. In this talk, we describe this class of systems, provide some basic analysis tools for them, and discuss one particular motivation for this class of systems. The motivation is the problem of global almost sure synchronization of planar orientation. For planar orientation, the literature contains solutions to the problem of (sure) almost global synchronization, but not to the problem of global, almost sure synchronization. In this talk, we emphasize the distinction between these two problems, provide a solution to the latter problem, and highlight the preferred robustness properties of this solution.

About the lecturer

Andrew R. Teel received his A.B. degree in Engineering Sciences from Dartmouth College in Hanover, New Hampshire, in 1987, and his M.S. and Ph.D. degrees in Electrical Engineering from the University of California, Berkeley, in 1989 and 1992, respectively. After receiving his Ph.D., he was a postdoctoral fellow at the Ecole des Mines de Paris in Fontainebleau, France. In 1992 he joined the faculty of the Electrical Engineering Department at the University of Minnesota, where he was an assistant professor until 1997. Subsequently, he joined the faculty of the Electrical and Computer Engineering Department at the University of California, Santa Barbara, where he is currently a professor. His research interests are in nonlinear and hybrid dynamical systems, with a focus on stability analysis and control design. He has received NSF Research Initiation and CAREER Awards, the 1998 IEEE Leon K. Kirchmayer Prize Paper Award, the 1998 George S. Axelby Outstanding Paper Award, and was the recipient of the first SIAM Control and Systems Theory Prize in 1998. He was the recipient of the 1999 Donald P. Eckman Award and the 2001 O. Hugo Schuck Best Paper Award, both given by the American Automatic Control Council, and also received the 2010 IEE Control Systems Magazine Outstanding Paper Award. He is an area editor for Automatica, and a Fellow of the IEEE and of IFAC.
 
He is visiting AMOS and NTNU to give the course "Hybrid Dynamical Systems" based on the book with the same title by R. Goebel, R. G. Sanfelice, and A. R. Teel, Princeton University Press, 2012.
 

 


Workshop on applications of autonomy in the marine industry

Friday 30th August 2013.
Preliminary program

Workshop on applications of autonomy in the marine industry

Friday 30th August 2013.
Preliminary program

Arranged in cooperation by the MUNIN project; www.unmanned-ship.org, the SEATONOMY project at SINTEF and AMOS.


Guest lecture by Dr Phil McGillivary, US Coast Guard, on marine and arctic challenges with AUV, UAV and other technologies

10 June 2013 at 1:15-2:00 PM
Room B343, Gløshaugen, Elektro Bld. D

Guest lecture by Dr Phil McGillivary, US Coast Guard, on marine and arctic challenges with AUV, UAV and other technologies

10 June 2013 at 1:15-2:00 PM
Room B343, Gløshaugen, Elektro Bld. D

The lecture will concentrate on experiences with unmanned aerial and underwater vehicles and related technologies in order to meet marine and arctic challenges such as climate research, environmental monitoring, surveillance, safety and security.

Dr. McGillivary has his PhD in Ecology from the University of Georgia, Athens, and is currently the Science Liaison for the US Coast Guard for the Pacific, and have been running science operations for the US icebreakers for the past 17 years.


Seminar on hybrid dynamical systems by professor Andrew R. Teel, UCSB

9-20 September 2013

As part of the PhD course MR8500: Advanced Topics in Marine Control Systems, Professor Teel will give a 2-week intensive seminar on Hybrid Dynamical Systems.

Seminar on hybrid dynamical systems by professor Andrew R. Teel, UCSB

9-20 September 2013

As part of the PhD course MR8500: Advanced Topics in Marine Control Systems, Professor Teel will give a 2-week intensive seminar on Hybrid Dynamical Systems.

AMOS is proud to announce the visit of Professor Andrew R. Teel, University of California at Santa Barbara in fall 2013.

Course Outline

  1. Examples of hybrid systems
    Hybrid automata, mechanical systems with impacts, hybrid control systems; Text Chapter 1
  2. The solution concept
    Data, hybrid time domains, basic properties of solutions; Text Chapter 2.
  3. Asymptotic stability
    Definitions, Lyapunov functions, equivalent characterizations, the invariance principle;
    Text,Chapters 3, 7 & 8. Matrosov functions; Supplemental papers
  4. Well-posed hybrid systems
    Basic assumptions, material from set-valued analysis, robustness; Text, chapters 4-6.
  5. Consequences of robustness
    Linearizations; Text, Chapter 9. Simulation theory, averaging, singular perturbations; Supplemental papers.

Prerequisites

Exposure to stability theory for nonlinear systems,
E.g., Nonlinear Systems, 3rd ed., Hassan Khalil, Prentice-Hall

Course summary

Based on the book "Hybrid Dynamical Systems", by R. Goebel, R.G. Sanfelice, and A.R. Teel, Princeton University Press, 2012.The course covers modeling and stability theory for hybrid dynamical systems. The stability analysis tools are applied to prove closed-loop stability for control systems that employ hybrid feedback algorithms. The goal is to equip the student with state-of-the-art analysis and synthesis techniques for hybrid feedback systems. In order to follow the material in the course, it is helpful to have taken courses on linear systems (from a state-space point of view) and nonlinear systems (from a book like Hassan Khalil's "Nonlinear Systems"), and to be comfortable with the mathematics used in those courses.

The course starts with examples of hybrid systems. Next we rigorously define the solution concept, with a focus on hybrid time domains. Zeno solutions are discussed, as well as solutions that satisfy dwell-time or average dwell-time constraints. Then we begin to study asymptotic stability, including asymptotic stability of closed sets, which is a generalization that is important for hybrid systems. Lyapunov-based methods are emphasized. Subsequently, we address basic regularity conditions on the data of a hybrid system. These conditions generalize continuity of the right-hand side of a differential equation. They guarantee that the hybrid system is "well posed", in the sense that small perturbations to the data do not change the nature of the possible solutions. Set-valued analysis techniques are introduced to characterize this well-posedness property. Next we revisit asymptotic stability for well-posed hybrid systems and give several equivalent characterizations, including converse Lyapunov theorems. Subsequently, we develop stability analysis tools based on the invariance principle for hybrid systems. Time permitting, we also discuss averaging theory, singular perturbation theory, and input-to-state stability for hybrid systems. If there is time and interest, stochastic hybrid systems will also be discussed.

About the lecturer

Andrew R. Teel received his A.B. degree in Engineering Sciences from Dartmouth College in Hanover, New Hampshire, in 1987, and his M.S. and Ph.D. degrees in Electrical Engineering from the University of California, Berkeley, in 1989 and 1992, respectively. After receiving his Ph.D., he was a postdoctoral fellow at the Ecole des Mines de Paris in Fontainebleau, France. In 1992 he joined the faculty of the Electrical Engineering Department at the University of Minnesota, where he was an assistant professor until 1997. Subsequently, he joined the faculty of the Electrical and Computer Engineering Department at the University of California, Santa Barbara, where he is currently a professor. His research interests are in nonlinear and hybrid dynamical systems, with a focus on stability analysis and control design. He has received NSF Research Initiation and CAREER Awards, the 1998 IEEE Leon K. Kirchmayer Prize Paper Award, the 1998 George S. Axelby Outstanding Paper Award, and was the recipient of the first SIAM Control and Systems Theory Prize in 1998. He was the recipient of the 1999 Donald P. Eckman Award and the 2001 O. Hugo Schuck Best Paper Award, both given by the American Automatic Control Council, and also received the 2010 IEE Control Systems Magazine Outstanding Paper Award. He is an area editor for Automatica, and a Fellow of the IEEE and of IFAC.

Guest lecture on autonomous control systems for UAV by Professor Maruthi R. Akella, University of Texas, Austin

12 March 2013 1:15-2:00 PM
Room B343, Gløshaugen, Elektro Bld. D
 

Guest lecture on autonomous control systems for UAV by Professor Maruthi R. Akella, University of Texas, Austin

- Lyapunov Strictification and Filter Embedment: Powerful New Techniques for Control of Agile Aerospace Systems

12 March 2013 1:15-2:00 PM
Room B343, Gløshaugen, Elektro Bld. D
 

Professor Maruthi R. Akella
Aerospace Engineering and Engineering Mechanics Controls Lab for Distributed and Uncertain Systems, The University of Texas at Austin, USA.
URL: http://cdus.ae.utexas.edu

Abstract

A large number of emerging aerospace engineering applications are addressing the development of autonomous control systems with agile maneuvering and robust perception inside dynamic, complex and uncertain environments well beyond the limits of what is currently feasible. In this seminar, we present an overview of some recent advances in nonlinear stability theory and robust adaptive control. In particular, we discuss new and extremely powerful mathematical tools – Lyapunov Strictification and Filter Embedment – for dynamical systems that are subject to non-affine uncertainty characterizations and nonlinear parameterization constraints within the overall control architecture. Historically, it is well known that these control problems are extremely difficult to solve resulting in the unfortunate and wide-spread adoption of Procrustean schemes. By taking the new strictification and embedment approaches, we can identify large classes of aero-mechanical systems that result in stable closed-loop designs together with performance guarantees and thus, can be efficiently solved. The seminar concludes with a brief discussion of space systems applications that include rapid responsive space situational awareness, closed-loop guidance for asteroid rendezvous missions, on-orbit tunable controllers for spacecraft attitude dynamics, and UAV enabled coordinated target pursuit.

Speaker Bio

Maruthi R. Akella currently holds the rank of Associate Professor with tenure and directs the Controls Lab for Distributed and Uncertain Systems (C-DUS) in the Department of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin. He received his PhD in Aerospace Engineering in 1998 from Texas A&M University and prior to joining the UT Austin faculty, he was a postdoctoral fellow with the Yale University Center for Systems Science. Dr. Akella's research program encompasses control theoretic investigations of nonlinear and coordinated systems, vision-based sensing for state estimation, and development of integrated human and autonomous multivehicle systems. He currently serves as Associate Editor for the Journal of Guidance, Control, and Dynamics (JGCD) and the IEEE Transactions on Aerospace and Electronic Systems (T-AES). Dr. Akella is an Associate Fellow of the American Institute of Aeronautics and Astronautics.

Annika Bremvåg
Fri, 17 Oct 2014 13:17:21 +0200