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4 papers · 1 filter
Constraint-adaptive MPC for large-scale systems: Satisfying state constraints without imposing them
S. A. N. Nouwens, B. de Jager, M. M. Paulides +1
Model Predictive Control (MPC) is a successful control methodology, which is applied to increasingly complex systems. However, real-time feasibility of MPC can be challenging for c…
Accelerating soft-constrained MPC for linear systems through online constraint removal
S. A. N. Nouwens, M. M. Paulides, W. P. M. H. Heemels
Optimization-based controllers, such as Model Predictive Control (MPC), have attracted significant research interest due to their intuitive concept, constraint handling capabilitie…
Approximate Kalman filtering for large-scale systems with an application to hyperthermia cancer treatments
S. A. N. Nouwens, M. M. Paulides, W. P. M. H. Heemels
Accurate state estimates are required for increasingly complex systems, to enable, for example, feedback control. However, available state estimation schemes are not necessarily re…
Constraint Removal for MPC with Performance Preservation and a Hyperthermia Cancer Treatment Case Study
S. A. N. Nouwens, B. de Jager, M. M. Paulides +1
Model predictive control (MPC) is an optimization-based control strategy with broad industrial adoption. Unfortunately, the required computation time to solve the receding-horizon…