Bjarne Anton Foss
Bakgrunn og aktiviteter
Bjarne Foss er prorektor for forskning ved NTNU fra 1. august 2017.
Prorektor for forskning ved NTNU har et særlig ansvar for oppfølging av forskningsvirksomhet og forskningsstrategi ved universitetet. Dette inkluderer også forskerutdanningen. I tillegg koordinerer prorektor for forskning NTNUs internasjonale kontakt.
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 over 250 vitenskapelige artikler og vært grunder for to oppstartsselskaper.
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
- (2019) A reduced random sampling strategy for fast robust well placement optimization. Journal of Petroleum Science and Engineering. vol. 184.
- (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.
- (2016) Black-oil minimal fluid state parametrization for constrained reservoir control optimization. Journal of Petroleum Science and Engineering. vol. 143.
- (2016) A two-layer structure for stabilization and optimization of an oil gathering network. IFAC-PapersOnLine. vol. 49 (7).
- (2016) Global optimization of multiphase flow networks using spline surrogate models. Computers and Chemical Engineering. vol. 84.