Model Predictive Control: Classical, Robust and Stochastic by Basil Kouvaritakis, Mark Cannon

Model Predictive Control: Classical, Robust and Stochastic Basil Kouvaritakis, Mark Cannon ebook
ISBN: 9783319248516
Format: pdf
Page: 384
Publisher: Springer International Publishing

3 Model Predictive Control for Building Climate Control. Fast algorithm for stochastic model predictive control (SMPC) of high-dimensional stable systems using classical MPC approaches. A classical approach to solve the chance constrained optimization problem (1) resorts the context of robust model predictive control in [5] and in [6]. € Must be coupled with Model Predictive Control (Receding Horizon Control). For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. € Flowrates of additives are limited. Publication » Stochastic Model Predictive Control for Constrained Networked Control Systems with Random Time Delay. 17 tion successfully applied in robust control, with a tractable deterministic reformulation. Stochastic Formulations of Model Predictive Control . Solution Open-loop optimal solution is not robust. Multivariable feedback design: Concepts for a classical/modern synthesis. Implicitly defines the creating models with uncertainty information (e.g., stochastic model). 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. 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. In comparison to classical controller types. Section III we discuss the stochastic model we will consider. Keywords: Model Predictive Control, Constrained Robust Control, Reference Tracking, Output-Feedback,. Stochastic Model Predictive Control: Controlling the Average Number of Constraint Violations of the traditional robust / stochastic MPC schemes such as.