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Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139917379 ISBN 13: 9786139917372
Language: English
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Published by Vieweg+Teubner Verlag, 2011
ISBN 10: 3834815721 ISBN 13: 9783834815729
Language: English
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 388 | Sprache: Englisch | Produktart: Bücher.
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Published by Electronic Industry Press, 2017
ISBN 10: 712132931X ISBN 13: 9787121329319
Language: English
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Add to basketpaperback. Condition: New. Paperback.Pub Date:2017-12 Pages:220 Language:Chinese Publisher:Electronic Industry Press This book mainly introduces the research results of the author team in nonlinear model predictive control. Specifically. Chapter 1 introduces the research background and development of predictive control and the current research status at home and abroad; Chapters 2 and 3 focus on the stability conditions of predictive control systems; Chapter 4 designs three robust predictive control algorithms and comp.
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659977411 ISBN 13: 9783659977411
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Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3659554057 ISBN 13: 9783659554056
Language: English
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Published by The Institution of Engineering and Technology, 2015
ISBN 10: 1849195528 ISBN 13: 9781849195522
Language: English
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Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659191752 ISBN 13: 9783659191756
Language: English
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Published by Springer International Publishing, 2018
ISBN 10: 3319834231 ISBN 13: 9783319834238
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Published by Springer International Publishing, 2016
ISBN 10: 3319460234 ISBN 13: 9783319460239
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Add to basketCondition: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. Außen: verschmutzt, angestoßen. Aus der Auflösung einer renommierten Bibliothek. Kann Stempel beinhalten. | Seiten: 372 | Sprache: Englisch | Produktart: Bücher.
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Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200295638 ISBN 13: 9786200295637
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Any proper operation could be translated as a constrained optimization problem inside a Waste Water Treatment Plants, whose nonlinear behavior renders its control problems quite attractive for performance of multivariable optimization-based control technique algorithms, such as Nonlinear Model Predictive Control. The main advantage of this control technique lies in its ability to handle model non linearity as well as various types of constraints on the actuators and state variables. In this book, the steps of building the Benchmark Simulation Model No.1 (BSM1) are presented step by step, appropriate numerical methods are proposed and the simulation model is created in MATLAB environment. The initial values inside the reactors and the clarifier layers were calculated by solving the state equations of each reactor using the Euler and Rang-Kuta hybrid numerical approach. Finally, behavior of the process is examined against different weather conditions and the proposed NMPC is compared in detail with the default PI control scheme of BSM1and five other predictive control schemes including: EMPC, MPC, MPC+ff, Hierarchical MPC and MPC+Fuzzy.
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Add to basketpaperback. Condition: New. Paperback. Pages Number: 139 Language: Chinese. Publisher: Science Press. The Nitto Zhang. Xue Anke. Shuqing. Li Ping. the Yellow Sea prepared by the nonlinear model predictive control and industrial applications to take theory with practical. advanced industrial process control starting from the perspective of the non-linear system design. intelligent control. specifically addressed the basic method of nonlinear model predictive control and design ideas. The book is nine chapters. divided in.
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2020-12-01 Pages: 173 Language: Chinese Publisher: Science Press Nonlinear Network Model Predictive Control Theory and Application systematically and deeply introduces the nonlinear network control system under the unified framework of state space theory Modeling. analysis and control issues.?First. briefly introduce the model of nonlinear control system. stability analysis method. and feedback linearization theory.?Then. the model predictive control methods of unilateral.
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2021-04-01 Pages: 273 Language: Chinese Publisher: Science Press Nonlinear Model Predictive Control for Power Generation Process starts with the inherent problems of nonlinear model predictive control. and elaborates on the non-linear model predictive control Optimize the solution method. completely construct a nonlinear model predictive control strategy based on input and output feedback linearization. and carry out in-depth research on the application of nonlinear model.
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200295360 ISBN 13: 9786200295361
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Any proper operation could be translated as a constrained optimization problem inside a Waste Water Treatment Plants, whose nonlinear behavior renders its control problems quite attractive for performance of multivariable optimization-based control technique algorithms, such as Nonlinear Model Predictive Control. The main advantage of this control technique lies in its ability to handle model non linearity as well as various types of constraints on the actuators and state variables. In this book, the steps of building the Benchmark Simulation Model No.1 (BSM1) are presented step by step, appropriate numerical methods are proposed and the simulation model is created in MATLAB environment. The initial values inside the reactors and the clarifier layers were calculated by solving the state equations of each reactor using the Euler and Rang-Kuta hybrid numerical approach. Finally, behavior of the process is examined against different weather conditions and the proposed NMPC is compared in detail with the default PI control scheme of BSM1and five other predictive control schemes including: EMPC, MPC, MPC+ff, Hierarchical MPC and MPC+Fuzzy.