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Published by Nova Science Pub Inc, 2015
ISBN 10: 163463859X ISBN 13: 9781634638593
Language: English
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Published by Nova Science Pub Inc, 2015
ISBN 10: 163463859X ISBN 13: 9781634638593
Language: English
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Add to basketpaperback. Condition: New. Paperback.Pub Date:2022-04-01 Pages:180 Language:Chinese Publisher:Science Press In the control of constraint systems. invariant set properties and control laws in set theory. constraint satisfaction and Lyapunov functions are closely related to mathematics relation. Set theory and model predictive control for constrained systems have become the focus of theoretical research. Robust Model Predictive Control for Constrained Uncertain Systems Based on Set Theory focuses on the performance. stab.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642287794 ISBN 13: 9783642287794
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity.This book considers the multi-parametric Nonlinear Programming (mp-NLP) approaches to explicit approximate NMPC of constrained nonlinear systems, developed by the authors, as well as their applications to various NMPC problem formulations and several case studies. The following types of nonlinear systems are considered, resulting in different NMPC problem formulations:Ø Nonlinear systems described by first-principles models and nonlinear systems described by black-box models;- Nonlinear systems with continuous control inputs and nonlinear systems with quantized control inputs;- Nonlinear systems without uncertainty and nonlinear systems with uncertainties (polyhedral description of uncertainty and stochastic description of uncertainty);- Nonlinear systems, consisting of interconnected nonlinear sub-systems.The proposed mp-NLP approaches are illustrated with applications to several case studies, which are taken from diverse areas such as automotive mechatronics, compressor control, combustion plant control, reactor control, pH maintaining system control, cart and spring system control, and diving computers.
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Add to basketPaperback. Condition: Brand New. 2012 edition. 248 pages. 9.25x6.10x0.59 inches. In Stock.
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