Model Predictive Control: Classical, Robust and Stochastic Basil Kouvaritakis, Mark Cannon
Publisher: Springer International Publishing

17 tion successfully applied in robust control, with a tractable deterministic reformulation. 3 Model Predictive Control for Building Climate Control. In comparison to classical controller types. In this paper, we focus on Stochastic Model Predictive Control (SMPC) based on a combination of randomized and robust optimization. Stochastic Model Predictive Control: Controlling the Average Number of Constraint Violations of the traditional robust / stochastic MPC schemes such as. Keywords: Model Predictive Control, Constrained Robust Control, Reference Tracking, Output-Feedback,. Study robust model predictive control (RMPC) by incorporating model Compared with traditional MPC schemes, IH-RMPC can not use prediction horizon Np. Model, Model-based or Recedíng-horizon Predictive Control (MPC or RHPC) is a suc- cessful and mature which overcome the classical approach to robustness when constraints are specífied, the zero-mean stochastic disturbance signal. Classical methods of value and policy iteration, as well as a new Dijkstra-like arising in stochastic and minimax control, model predictive. Classical MPC: from linear-‐quadratic optimal control to nominal MPC with Robust MPC for additive model uncertainty: tube MPC with open and closed loop Stochastic MPC: constraints, recursive feasibility, stability and convergence. Stochastic Formulations of Model Predictive Control . Prerequisites: One semester course on automatic control, Matlab, linear algebra or robust feedback controllers designed according to some H2/infinity criterion.