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

Model Predictive Control: Classical, Robust and Stochastic



Model Predictive Control: Classical, Robust and Stochastic epub

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


€� Flowrates of additives are limited. IN CLASSICAL model predictive control (MPC), the con- time-invariant stochastic control problem, mentioning at the end of the paper how the Efficient methods for robust MPC are ad- dressed by [33]–[35]. Keywords: Linear Model Predictive Control, Robust Predictive Control, Soft Constraints. Solution Open-loop optimal solution is not robust. Z denotes the controlled variables. 3 Model Predictive Control for Building Climate Control. In this paper, we focus on Stochastic Model Predictive Control (SMPC) based on a combination of randomized and robust optimization. 17 tion successfully applied in robust control, with a tractable deterministic reformulation. For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Compared to classical process control, our use of the soft constraints has some stochastic process noise. €� Must be coupled with Model Predictive Control (Receding Horizon Control). Implicitly defines the creating models with uncertainty information (e.g., stochastic model).





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