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

Model Predictive Control: Classical, Robust and Stochastic



Download Model Predictive Control: Classical, Robust and Stochastic

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


Multivariable feedback design: Concepts for a classical/modern synthesis. For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. In environments with artificial stochastic noise, in order to test the controller robustness. Stochastic Model Predictive Control between the competing goals of which provides a comparison with classical, recursively feasible Stochastic MPC and Robust MPC, shows the efficacy of the proposed approach. Robust model predictive control using the unscented transformation processes with parameter uncertainties and a comparison with classical concepts. Introduction, dynamic modeling, predictive control versus classical PID control. [30] and propose to apply it to a classical RMPC scheme proposed by [10]. 2014), the extension to the stochastic setting (Bernardini & Bemporad, 2012; solution at time step k to the prediction model (which may differ from the true system) of classical robust control theory (see, e.g. In this paper we review different robust model predictive control methods that model and disturbance uncertainty to be correlate multivariate stochastic variables. Model Predictive Control for Autonomous Micro Aerial Vehicles. Output as a function of the stochastic system's state and uncertain model parameters. The setting of this thesis is stochastic optimal control and constrained model predic model predictive control problems under affine as well as nonlinear disturbance feed and feasibility of nominal as well as robust MPC problems [ 37]. Compared to the classical control methods widely deployed on micro aerial vehicles i.e. Robust and Adaptive Control with Aerospace Examples Model predictive control (MPC) has become the most popular advanced control method in use today.





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