Bjarne Foss
Bakgrunn og aktiviteter
Bjarne Foss har vært professor ved Institutt for teknisk kybernetikk siden 1989. Foss har ph.d. i teknisk kybernetikk fra NTNU. Han har vært hovedveileder for 31 ph.d. kandidater, publisert 300 vitenskapelige artikler og vært grunder for to oppstartsselskaper. Foss var prorektor for forskning og formidling ved NTNU i tidsrommet 2017-2020 og rektors stedfortreder 2019-2020. Han leder nå Kavli-instituttet for nevrovitenskap ved NTNU. Foss er også professor II ved USN.
Se full CV på Foss’ engelske profilside.
Vitenskapelig, faglig og kunstnerisk arbeid
Et utvalg av nyere tidsskriftspublikasjoner, kunstneriske produksjoner, bok, inklusiv bokdeler og rapport-del. Se alle publikasjoner i databasen
Tidsskriftspublikasjoner
- (2021) An Augmented Lagrangian for Optimal Control of DAE Systems: Algorithm and Properties. IEEE Transactions on Automatic Control. vol. 66 (1).
- (2020) Plantwide control of an oil production network. Computers and Chemical Engineering. vol. 136.
- (2020) A reduced random sampling strategy for fast robust well placement optimization. Journal of Petroleum Science and Engineering. vol. 184.
- (2020) A nonlinear model predictive control scheme for sensor fault tolerance in observation processes. International Journal of Robust and Nonlinear Control. vol. 30 (14).
- (2019) A Primal decomposition algorithm for distributed multistage scenario model predictive control. Journal of Process Control. vol. 81.
- (2019) Network-Constrained Production Optimization by Means of Multiple Shooting. SPE Reservoir Evaluation and Engineering. vol. 22 (02).
- (2018) Petroleum production optimization ? A static or dynamic problem?. Computers and Chemical Engineering. vol. 114.
- (2018) A Distributed Optimization Strategy for Large Scale Oil and Gas Production Systems. Proceedings of the IEEE Conference on Control Applications.
- (2018) A Distributed Algorithm for Scenario-based Model Predictive Control using Primal Decomposition *. IFAC-PapersOnLine. vol. 51 (18).
- (2018) Steady-State Real-time Optimization using Transient Measurements. Computers and Chemical Engineering. vol. 115.
- (2018) Improving Scenario Decomposition for Multistage MPC using a Sensitivity-based Path-following Algorithm. Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes.
- (2018) Improving Scenario Decomposition for Multistage MPC using a Sensitivity-based Path-following Algorithm. IEEE Control Systems Letters. vol. 2 (4).
- (2017) Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells. Neural Networks. vol. 85.
- (2017) Multiple shooting applied to robust reservoir control optimization including output constraints on coherent risk measures. Computational Geosciences. vol. 21 (3).
- (2017) Closed-loop predictions in reservoir management under uncertainty. SPE Journal. vol. 22 (5).
- (2017) Dual adaptive model predictive control. Automatica. vol. 80.
- (2017) Incipient Actuator Fault Handling in Nonlinear Model Predictive Control. IFAC-PapersOnLine. vol. 50 (1).
- (2017) Shale-gas wells as virtual storage for supporting intermittent renewables. Energy Policy. vol. 102.
- (2017) Gas Lift Optimization under Uncertainty. Computer-aided chemical engineering. vol. 40.
- (2016) An Augmented Lagrangian Method for Optimal Control of Continuous Time DAE Systems. Proceedings of the IEEE Conference on Control Applications.