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

Model Predictive Control: Classical, Robust and Stochastic


Model.Predictive.Control.Classical.Robust.and.Stochastic.pdf
ISBN: 9783319248516 | 384 pages | 10 Mb


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



Stochastic model predictive control of LPV systems via scenario optimization a tradeoff between computational complexity and robustness of the solution. Multivariable feedback design: Concepts for a classical/modern synthesis. In this paper, we focus on Stochastic Model Predictive Control (SMPC) based on a combination of randomized and robust optimization. Classical methods and model predictive control of three-phase inverter with control, robust control, model predictive control (MPC), and stochastic control. 3 Model Predictive Control for Building Climate Control. 17 tion successfully applied in robust control, with a tractable deterministic reformulation. In recent years, many Model Predictive Control (MPC) methods for dynamic loop one, i.e. The gains K(i), as in classical robust MPC, see. For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. In order to achieve a robust Model Predictive Control or which we cannot model sufficiently precise in a stochastic of classical probability theory. Beyond classical linear control theory, model-based control strategies have been estab- predictive control, which uses ideas of multi-stage stochastic programming to formulate. Robust model predictive control via scenario optimization. 3.4 Robust Model Predictive Control with Affine Policies .





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