Sprache: Englisch
Verlag: Cambridge University Press, 2017
ISBN 10: 1107652871 ISBN 13: 9781107652873
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 77,56
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In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 423 pages. 9.50x7.25x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2017
ISBN 10: 1107652871 ISBN 13: 9781107652873
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 151,45
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In den WarenkorbZustand: New. With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC). Num Pages: 458 pages, 116 b/w illus. 11 tables. BIC Classification: PBU; TDCB. Category: (U) Tertiary Education (US: College). Dimension: 246 x 189. . . 2017. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2017
ISBN 10: 1107652871 ISBN 13: 9781107652873
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorithms feature in an accompanying free online MATLAB toolbox, which allows easy access to sample solutions. Predictive Control for Linear and Hybrid Systems is an ideal reference for graduate, postgraduate and advanced control practitioners interested in theory and/or implementation aspects of predictive control.