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Model Predictive Control: Classical, Robust and

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


Download Model Predictive Control: Classical, Robust and Stochastic



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



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. Introduction, dynamic modeling, predictive control versus classical PID control. 3.4 Robust Model Predictive Control with Affine Policies . Robust and Adaptive Control with Aerospace Examples Model predictive control (MPC) has become the most popular advanced control method in use today. Classical MPC: from linear-]quadratic optimal control to nominal MPC with Robust MPC for additive model uncertainty: tube MPC with open and closed loop Stochastic MPC: constraints, recursive feasibility, stability and convergence. Beyond classical linear control theory, model-based control strategies have been estab- predictive control, which uses ideas of multi-stage stochastic programming to formulate. Stochastic Model Predictive Control: Controlling the Average Number of Constraint Violations of the traditional robust / stochastic MPC schemes such as. Fast algorithm for stochastic model predictive control (SMPC) of high-dimensional stable systems using classical MPC approaches. Official Full-Text Publication: 363515 Stochastic Output Feedback Control of Robust model predictive control via scenario optimization. Robust model predictive control via scenario optimization.





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