Lars Struen Imsland
Background and activities
Lars Imsland has been a professor at the Department of Engineering Cybernetics since 2009. He has a PhD and an MSc in Engineering Cybernetics from NTNU. He belongs to the research group Control Systems.
Work experience
- 2009–present: Norwegian University of Science and Technology, Professor at Department of Engineering Cybernetics.
- 2008–2009: Cybernetica AS, Trondheim, Specialist. Nonlinear model predictive control, automatic control in offshore drilling.
- 2004–2008: SINTEF ICT, Trondheim, Research Scientist. Estimation in automotive applications, power processes with CO2 capture.
- 2002–2004: Norwegian University of Science and Technology,Post.Doc. Control of power processes with CO2 capture.
- 1998–2002: Norwegian University of Science and Technology, Doctoral Student. Nonlinear control, control and optimization.
- 2000–2000: University of Stuttgart, Stuttgart, Germany, Visiting scholar.
Professional committees and memberships
- Co-chair of National Organizing Committee for 11th International IFAC Symposium on Dynamics and Control of Process and Bioprocess Systems (DYCOPS-CAB 2016), Trondheim, June 2016.
- Chair of National Organizing Committee for 1st IFAC Workshop on Automatic Control in Offshore Oil and Gas Production, Trondheim May 2012.
- Board member, Norwegian Society of Automatic Control, 2013–
- Reviewer for numerous journals and conferences, member of international program committee for conferences such as American Control Conference 2011, Mediterranean Conference on Control & Automation 2014 and 2015, IFAC Adchem 2015, IFAC ACOOG 2015.
- Member of 9 PhD adjudication committees in Norway and abroad.
- Board member, Board of Department of Engineering Cybernetics, NTNU, 1999–2001.
Awards
- 2008: Arch T. Colwell Merit Award, from the Society of Automotive Engineers.
- 2004: Automatica Outstanding Reviewer.
- 1998: PhD Scolarship from the Research Council of Norway.
- 1997: “Elf Studiepris”. Grant from Elf Aquitaine Norge A/S for “outstanding examination results”.
See my CV for more detailed information.
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
Journal publications
- (2021) Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter - a Case Study. IFAC-PapersOnLine.
- (2021) Data pre-processing and optimization techniques for stochastic and deterministic low-order grey-box models of residential buildings. Energy and Buildings. vol. 236.
- (2020) Distributed learning for wind farm optimization with Gaussian processes. American Control Conference (ACC).
- (2020) Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data. Journal of Physics: Conference Series (JPCS). vol. 1618.
- (2020) Real-time optimization of wind farms using modifier adaptation and machine learning. Wind Energy Science. vol. 5 (3).
- (2020) Stochastic data-driven model predictive control using gaussian processes. Computers and Chemical Engineering. vol. 139.
- (2020) Optimal Maintenance for Degrading Assets in the Context of Asset Fleets-A Case Study. Frontiers in Applied Mathematics and Statistics. vol. 6.
- (2020) Optimal production and maintenance scheduling for a multiproduct batch plant considering degradation. Computers and Chemical Engineering. vol. 135.
- (2020) Adaptive detection and prediction of performance degradation in off-shore turbomachinery. Applied Energy. vol. 268.
- (2019) On Kalman filtering with linear state equality constraints. Automatica. vol. 101.
- (2019) An iceberg forecast approach based on a statistical ocean current model. Cold Regions Science and Technology. vol. 158.
- (2019) Improved predictions from measured disturbances in linear model predictive control. Journal of Process Control. vol. 75.
- (2019) Output feedback stochastic nonlinear model predictive control for batch processes. Computers and Chemical Engineering. vol. 126.
- (2019) Stochastic nonlinear model predictive control of a batch fermentation process. Computer-aided chemical engineering. vol. 46.
- (2019) Economic stochastic nonlinear model predictive control of a semi-batch polymerization reaction. IFAC-PapersOnLine. vol. 52 (1).
- (2019) Dynamic Real-Time Optimisation of a CO2 Capture Facility. IFAC-PapersOnLine. vol. 52 (1).
- (2019) Performance-based maintenance planning for asset fleets. IFAC-PapersOnLine. vol. 52 (1).
- (2019) Optimal Maintenance Scheduling for Washing of Compressors to Increase Operational Efficiency. Computer-aided chemical engineering. vol. 46.
- (2019) Campaign-based modeling for degradation evolution in batch processes using a multiway partial least squares approach. Computers and Chemical Engineering. vol. 128.
- (2019) Short-term Scheduling of a Multipurpose Batch Plant Considering Degradation Effects. Computer-aided chemical engineering. vol. 46.