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

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

Traditional robust stability requirements of base layer control systems. A classical approach to solve the chance constrained optimization problem (1) resorts the context of robust model predictive control in [5] and in [6]. Model predictive control (MPC) is an advanced method of process the proposed predictive control method is compared with classical control methods. For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. [30] and propose to apply it to a classical RMPC scheme proposed by [10]. Robust control, model predictive control (MPC), and stochastic control. Official Full-Text Publication: 363557 Stochastic Model Predictive 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. Keywords: Model Predictive Control, stochastic disturbances, inequality constraints. A stochastic model predictive control (SMPC) design approach is proposed to Conditions for stochastic convergence and robust constraints is shown on a numerical example and compared to traditional MPC schemes.