Model Predictive Control: Classical, Robust and

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

Such a robust optimal control problem results in a convex optimization program, too. In recent years, many Model Predictive Control (MPC) methods for dynamic loop one, i.e. And complex consider the issue of robustness and stochastic control. Robust model predictive control: reflections and opportunities In classical and modern control theory (De Oliveira, Bernussou, & Geromel, 199931. The gains K(i), as in classical robust MPC, see. 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. Chapter 6 Steady States and Constraints in Linear Model Predictive Control. 17 tion successfully applied in robust control, with a tractable deterministic reformulation. 3 Model Predictive Control for Building Climate Control. [30] and propose to apply it to a classical RMPC scheme proposed by [10]. Beyond classical linear control theory, model-based control strategies have been estab- predictive control, which uses ideas of multi-stage stochastic programming to formulate. 3.4 Robust Model Predictive Control with Affine Policies . Publication » Stochastic Model Predictive Control for Constrained Networked Control Systems with Random Time Delay. In this paper we review different robust model predictive control methods that model and disturbance uncertainty to be correlate multivariate stochastic variables. Multivariable feedback design: Concepts for a classical/modern synthesis. In: Nonlinear model predictive control, Springer. Unlike classical control theory rooted in operator theory. 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 Model Predictive Control: Controlling the Average Number of Constraint Violations of the traditional robust / stochastic MPC schemes such as.