Background and activities
Sigurd Skogestad is Professor of Chemical Engineering at NTNU in Trondheim with focus on process control,. He received his PhD from the California Institute of Technology (Caltech) in 1987, He has been full professor at NTNU since 1987 and he was Head of department of Chemical Engineering from 1999 to 2009. He is since 2015 the Director of the SUBPRO center for research-based innovation on subsea production and processing.
His research interests include control structure design and plantwide control, optimal operation of process systems, modelling for control, robust control, PID control and distillation columns.
- TKP4580 - Chemical Engineering, Specialization Project
- TKP4140 - Process Control
- TKP4555 - Process Systems Engineering, Specialization Course
- KP8115 - Advanced Process Control
- TKP4120 - Process Engineering
- TKP4581 - Chemical Engineering, Specialization Project
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
- (2022) Real-Time optimization as a feedback control problem – A review. Computers and Chemical Engineering. vol. 161.
- (2022) Bidirectional inventory control with optimal use of intermediate storage. Computers and Chemical Engineering. vol. 159.
- (2022) Control of steam bottoming cycles using nonlinear input and output transformations for feedforward disturbance rejection. IFAC-PapersOnLine.
- (2021) Anti-slug control design: Combining first principle modeling with a data-driven approach to obtain an easy-to-fit model-based control. Journal of Petroleum Science and Engineering. vol. 207.
- (2021) Optimal Resource Allocation using Distributed Feedback-based Real-time Optimization. IFAC-PapersOnLine. vol. 54 (3).
- (2021) Application of surrogate models as an alternative to process simulation for implementation of the self-optimizing control procedure on large-scale process plants-a natural gas-to-liquids (gtl) case study. Industrial & Engineering Chemistry Research. vol. 60 (13).
- (2021) Active Constraint Switching with the Generalized Split Range Control Structure using the Baton Strategy. IFAC-PapersOnLine. vol. 53 (2).
- (2021) Transformed Manipulated Variables for Linearization, Decoupling and Perfect Disturbance Rejection. IFAC-PapersOnLine. vol. 53 (2).
- (2021) Supervisory control design for balancing supply and demand in a district heating system with thermal energy storage. Computers and Chemical Engineering. vol. 149.
- (2021) Input transformation for linearization, decoupling and disturbance rejection with application to steam networks. Computer-aided chemical engineering. vol. 50.
- (2020) Combined state and parameter estimation for not fully observable dynamic systems. IFAC Journal of Systems and Control. vol. 13.
- (2020) Plantwide control of an oil production network. Computers and Chemical Engineering. vol. 136.
- (2020) Control structure design of a solid oxide fuel cell and molten carbonate fuel cell integrated system: Bottom-up analysis. Energy Conversion and Management. vol. 220.
- (2020) Linear Combination of Gradients as Optimal Controlled Variables. Computer-aided chemical engineering. vol. 48.
- (2020) Systematic design of active constraint switching using se-lectors. Computers and Chemical Engineering. vol. 143.
- (2020) Real-time Optimal Resource Allocation in an Industrial Symbiotic Network using Transient Measurements. American Control Conference (ACC). vol. 2020.
- (2020) A First-Principles Approach for Control-Oriented Modeling of De-oiling Hydrocyclones. Industrial & Engineering Chemistry Research. vol. 59.
- (2020) Linear parameter-varying model for a refuellable zinc-air battery. Royal Society Open Science. vol. 7 (12).
- (2020) Multi-input single-output control for extending the operating range: Generalized split range control using the baton strategy. Journal of Process Control. vol. 91.
- (2020) Optimal operation and control of heat to power cycles: A new perspective from a systematic plantwide control approach. Computers and Chemical Engineering. vol. 141.