Search Results - "Heirung, Tor Aksel N."

Model predictive control with active learning under model uncertainty: Why, when, and how by Heirung, Tor Aksel N., Paulson, Joel A., Lee, Shinje, Mesbah, Ali

“…Optimal control relies on a model, which is generally uncertain because of incomplete knowledge of the system and changes in the dynamics over time. Probing…”
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Stochastic model predictive control — how does it work? by Heirung, Tor Aksel N., Paulson, Joel A., O’Leary, Jared, Mesbah, Ali

“…•Providing a tutorial overview of SMPC.•Illustrating the relation between SMPC and classical optimal control as well as nominal MPC.•Highlighting the…”
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MPC-based dual control with online experiment design by Heirung, Tor Aksel N., Foss, Bjarne, Ydstie, B. Erik

“…We present two dual control approaches to the model maintenance problem based on adaptive model predictive control (mpc). The controllers employ systematic…”
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Model predictive control with active learning for stochastic systems with structural model uncertainty: Online model discrimination by Heirung, Tor Aksel N., Santos, Tito L.M., Mesbah, Ali

“…•Illustrates the importance of model uncertainty handling in optimal control of stochastic systems.•Presents a tractable formulation for MPC with active…”
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Dual adaptive model predictive control by Heirung, Tor Aksel N., Ydstie, B. Erik, Foss, Bjarne

“…We present an adaptive dual model predictive controller (dmpc) that uses current and future parameter-estimation errors to minimize expected output error by…”
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Input design for active fault diagnosis by Heirung, Tor Aksel N., Mesbah, Ali

“…Reliably diagnosing faults and malfunctions has become increasingly challenging in modern technical systems because of their growing complexity as well as…”
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Fault-Tolerant Tube-Based Robust Nonlinear Model Predictive Control by Paulson, Joel A., N. Heirung, Tor Aksel, Mesbah, Ali

“…This paper proposes a nonlinear model predictive control algorithm that is robust to bounded disturbances and tolerant to a finite number of faults. The…”
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A Constraint-Tightening Approach to Nonlinear Model Predictive Control with Chance Constraints for Stochastic Systems by Santos, Tito L.M., Bonzanini, Angelo D., Heirung, Tor Aksel N., Mesbah, Ali

“…This paper presents a nonlinear model predictive control (NMPC) strategy for stochastic systems subject to chance constraints. The notion of stochastic tubes…”
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Closed-Loop Active Fault Diagnosis for Stochastic Linear Systems by Paulson, Joel A., Heirung, Tor Aksel N., Braatz, Richard D., Mesbah, Ali

“…The ability to reliably distinguish between multiple fault hypotheses is generally strongly dependent on the input applied to the system. This paper presents a…”
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Generalized reduction constraints for the global optimization of dynamic process networks using topological invariants by Wartmann, M R, Heirung, T A N, Ruiz, J P, Ydstie, B E

“…We describe a novel framework for the modeling and optimization of dynamic process networks based on network theory. Global optimization of nonlinear systems…”
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