Linear programming approach to the control of discrete-time periodic systems with uncertain inputs
Journal of Optimization Theory and Applications
Periodic Systems: Filtering and Control
Periodic Systems: Filtering and Control
Brief paper: Least-restrictive move-blocking model predictive control
Automatica (Journal of IFAC)
Survey paper: Set invariance in control
Automatica (Journal of IFAC)
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
Optimization over state feedback policies for robust control with constraints
Automatica (Journal of IFAC)
Hi-index | 22.14 |
State-feedback model predictive control (MPC) of constrained discrete-time periodic affine systems is considered. The periodic systems' states and inputs are subject to periodically time-dependent, hard, polyhedral constraints. Disturbances are additive, bounded and subject to periodically time-dependent bounds. The objective is to design MPC laws that robustly enforce constraint satisfaction in a manner that is least-restrictive, i.e., have the largest possible domain. The proposed design method is demonstrated on a building climate control example. The proposed method is directly applicable to time-invariant MPC.