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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
Publisher: Springer International Publishing
Page: 384
Format: pdf

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. Model Predictive Control: Classical, Robust and Stochastic ( Advanced Textbooks in Control and Signal Processing). Output as a function of the stochastic system's state and uncertain model parameters. 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. Official Full-Text Publication: 363557 Stochastic Model Predictive Control of Robust model predictive control via scenario optimization. Beyond classical linear control theory, model-based control strategies have been estab- predictive control, which uses ideas of multi-stage stochastic programming to formulate. Keywords: Model Predictive Control, stochastic disturbances, inequality constraints. Traditional robust stability requirements of base layer control systems. In this paper, we consider MPC for constrained discrete-time systems with stochastic parameters which are assumed to be a set of serially correlated time series. 1 of the traditional robust / stochastic MPC schemes such as. Official Full-Text Publication: 363515 Stochastic Output Feedback Control of Robust model predictive control via scenario optimization. In this paper we review different robust model predictive control methods that model and disturbance uncertainty to be correlate multivariate stochastic variables. 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. Stochastic Model Predictive Control: Controlling the Average Number of Constraint Violations. Fast algorithm for stochastic model predictive control (SMPC) of high-dimensional stable systems using classical MPC approaches. Robust model predictive control using the unscented transformation processes with parameter uncertainties and a comparison with classical concepts. Section III we discuss the stochastic model we will consider. [30] and propose to apply it to a classical RMPC scheme proposed by [10]. 3.4 Robust Model Predictive Control with Affine Policies . 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. Prerequisites: One semester course on automatic control, Matlab, linear algebra or robust feedback controllers designed according to some H2/infinity criterion.