Robust constrained model predictive control using linear matrix inequalities
Automatica (Journal of IFAC)
A Quasi-Infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability
Automatica (Journal of IFAC)
A stabilizing model-based predictive control algorithm for nonlinear systems
Automatica (Journal of IFAC)
Analysis and design of output feedback control systems in the presence of actuator saturation
ACC'09 Proceedings of the 2009 conference on American Control Conference
Adaptive fault-tolerant output-feedback control of LTI systems subject to actuator saturation
ACC'09 Proceedings of the 2009 conference on American Control Conference
Stability of planar linear systems with state constraints
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Design of state feedback controller for systems with input constrains and actuator faults
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
On a control algorithm for time-varying processor availability
Proceedings of the 13th ACM international conference on Hybrid systems: computation and control
Brief paper: On the computation of convex robust control invariant sets for nonlinear systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Enlarging the domain of attraction of MPC controllers
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Hi-index | 22.15 |
Ellipsoidal invariant sets have been widely used as target sets in model predictive control (MPC). These sets can be computed by constructing appropriate linear difference inclusions together with additional constraints to ensure that the ellipsoid lies within a given inclusion polytope. The choice of inclusion polytope has a significant effect on the size of the target ellipsoid, but the optimal inclusion polytope cannot in general be computed systematically. This paper shows that use of polytopic invariant sets overcomes this difficulty, allowing larger stabilizable sets without loss of performance. In the interests of online efficiency, consideration is focused on interpolation-based MPC.