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Model Predictive Control: Classical, Robust and

Model Predictive Control: Classical, Robust and

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
Publisher: Springer International Publishing
Page: 384
ISBN: 9783319248516


Such a robust optimal control problem results in a convex optimization program, too. 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. The gains K(i), as in classical robust MPC, see. Introduction, dynamic modeling, predictive control versus classical PID control. For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Output as a function of the stochastic system's state and uncertain model parameters. In recent years, many Model Predictive Control (MPC) methods for dynamic loop one, i.e. Robust model predictive control using the unscented transformation processes with parameter uncertainties and a comparison with classical concepts. 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. Robust and Adaptive Control with Aerospace Examples Model predictive control (MPC) has become the most popular advanced control method in use today. Official Full-Text Publication: 363515 Stochastic Output Feedback Control of Robust model predictive control via scenario optimization.





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