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Model Predictive control
Kategorie	Beschreibung
036a	XA-GB
037b	eng
087q	978-1-85233-694-3
100	Camacho, E. F.
104b	Bordons, C.
331	Model Predictive control
403	Second Edition
410	London
412	Springer
425	2007
425a	2007
433	Online-Ressource (XXII, 406 p. 3 illus, digital)
451b	Advanced Textbooks in Control and Signal Processing
501	Description based upon print version of record
517	Introduction to Model Predictive Control -- Model Predictive Controllers -- Commercial Model Predictive Control Schemes -- Generalized Predictive Control -- Simple Implementation of GPC for Industrial Processes -- Multivariable Model Predictive Control -- Constrained Model Predictive Control -- Robust Model Predictive Control -- Nonlinear Model Predictive Control -- Model Predictive Control and Hybrid Systems -- Fast Methods for Implementing Model Predictive Control -- Applications -- Appendix A: Revision of the Simplex Method -- Appendix B: Dynamic Programming and Linear Quadratic Optimal Control.
527	Buchausg. u.d.T.ISBN: 978-1-85233-694-3
540a	ISBN 978-0-85729-398-5
700	\|TJFM
700	\|TEC004000
700b	\|629.8
700c	\|TJ212-225
750	From power plants to sugar refining, model predictive control (MPC) schemes have established themselves as the preferred control strategies for a wide variety of processes.The second edition of Model Predictive Controlprovides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. Model Predictive Controldemonstrates that a powerful technique does not always require complex control algorithms.The text features material on the following subjects:general MPC elements and algorithms; commercial MPC schemes; generalized predictive control multivariable, robust, constrained nonlinear and hybrid MPC; fast methods for MPC implementation; applications. All of the material is thoroughly updated for the second edition with the chapters on nonlinear MPC, MPC and hybrid systems and MPC implementation being entirely new. Many new exercises and examples have also have also been added throughout and Matlab®programs to aid in their solution can be downloaded from the authors' website at http://www.esi.us.es/MPCBOOK. The text is an excellent aid for graduate and advanced undergraduate students and will also be of use to researchers and industrial practitioners wishing to keep abreast of a fast-moving field
902s	210684925 Prädiktive Regelung
012	378519085
081	Camacho, E. F.: Model Predictive control
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-0-85729-398-5