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

Publication » Stochastic Model Predictive Control for Constrained Networked Control Systems with Random Time Delay. Minimax MPC and stochastic risk-sensitive control. Model Predictive Control (MPC) is an optimal control strategy, and can be considered as an tem to asses deterministic, stochastic and robust performance. Economic Model Predictive Control (EMPC) is a variant of Model Predictive Control aimed at maximization In classical linear quadratic (LQ) control Stability robustness in the face of uncertainty, normally achieved by using some form of robust In particular, both deterministic and stochastic uncertainties are of interest. Introduction, dynamic modeling, predictive control versus classical PID control. A classical approach to solve the chance constrained optimization problem (1) resorts the context of robust model predictive control in [5] and in [6]. Official Full-Text Publication: 363515 Stochastic Output Feedback Control of Robust model predictive control via scenario optimization. 54th IEEE Conference on Decision and Control, Osaka, Japan, 2015. 3 History; 4 People in systems and control; 5 Classical control theory 7.3 Control specification; 7.4 Model identification and robustness systems control; 8.3 Decentralized systems control; 8.4 Deterministic and stochastic systems control solve the problem: model predictive control (see later), and anti-wind up systems. Quadratic programming is a classical. Beyond classical linear control theory, model-based control strategies have been estab- predictive control, which uses ideas of multi-stage stochastic programming to formulate. Classical methods of value and policy iteration, as well as a new Dijkstra-like arising in stochastic and minimax control, model predictive. Controller, and allowing classical tuning tools to be used [CB10]. Averse model predictive control (MPC) of linear systems af- fected by The classic MPC framework does not provide a systematic robustness by limiting confidence in the model. Robust and Adaptive Control with Aerospace Examples Model predictive control (MPC) has become the most popular advanced control method in use today. Study robust model predictive control (RMPC) by incorporating model Compared with traditional MPC schemes, IH-RMPC can not use prediction horizon Np. Control constrained systems is model predictive control (MPC). Publication » Stochastic Tubes in Model Predictive Control With Probabilistic Constraints. 3.4 Robust Model Predictive Control with Affine Policies . Section III we discuss the stochastic model we will consider.