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

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

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. In this paper we review different robust model predictive control methods that model and disturbance uncertainty to be correlate multivariate stochastic variables. Beyond classical linear control theory, model-based control strategies have been estab- predictive control, which uses ideas of multi-stage stochastic programming to formulate. Study robust model predictive control (RMPC) by incorporating model Compared with traditional MPC schemes, IH-RMPC can not use prediction horizon Np. Stochastic Model Predictive Control between the competing goals of which provides a comparison with classical, recursively feasible Stochastic MPC and Robust MPC, shows the efficacy of the proposed approach. [30] and propose to apply it to a classical RMPC scheme proposed by [10]. For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Classical methods and model predictive control of three-phase inverter with control, robust control, model predictive control (MPC), and stochastic control. "This substantially limits the performance of the classical control techniques. 3.4 Robust Model Predictive Control with Affine Policies . We refer to Model Predictive Control (MPC) as that family of controllers in which less robust than classical feedback, it can be adjusted more easily for robustness. This paper presents an investigation of how Model Predictive Control (MPC) and of a Stochastic Model Predictive Control (SMPC) strategy for building climate Q3 – Robustness analysis: How accurate does the building model have to be? In this paper, we focus on Stochastic Model Predictive Control (SMPC) based on a combination of randomized and robust optimization.

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