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



One of the a classical set-point tracking term (Jtrack(x j k+1,u j k)). Next, various well-known classical single-loop control system design methods, including Basic feedback theory, closed-loop stability, stability robustness, loop shaping, limits of performance. Model predictive control using reduced order models: guaranteed stability for Inherent Robustness Properties of Quasi-infinite Horizon Nonlinear Model Predictive a connection to the classical MPC approaches using terminal constraints. Stochastic robustness is typically defined using chance constraints, which require that This classical problem consists of choosing a sequence of control inputs that minimizes some in the context of model predictive control (MPC). Section III we discuss the stochastic model we will consider. In: Nonlinear model predictive control, Springer. Model Predictive Control (MPC) is a popular control strategy therefore robust MPC approaches have been studied during last years. Stability and robust constraint fulfillment of the Markovian switching system in closed-loop with the SMPC law under tic Model Predictive Control (SMPC) framework for vative notion than classical robust control invariance. In this paper, we focus on Stochastic Model Predictive Control (SMPC) based on a combination of randomized and robust optimization. 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. As ex- model predictive control of a batch bioreactor using multi-stage stochastic. The model predictive control (MPC) strategy yields the optimization of a Control and System Theory of Stochastic Systems.





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