Nonlinear model predictive control : theory and algorithms

This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC vari...

Full description

Saved in:
Bibliographic Details
Main Authors: Grüne, Lars, 1967- (Author), Pannek, Jürgen, (Author)
Format: eBook
Language: English
Published: Cham : Springer, 2016.
Edition: Second edition.
Series: Communications and control engineering.
Subjects:
ISBN: 9783319460246
9783319460239
Physical Description: 1 online resource

Cover

Table of contents

LEADER 04674cam a2200445Ii 4500
001 99550
003 CZ-ZlUTB
005 20201229193729.0
006 m o d
007 cr cnu---unuuu
008 161116s2016 sz ob 001 0 eng d
040 |a N$T  |b eng  |e rda  |e pn  |c N$T  |d N$T  |d EBLCP  |d GW5XE  |d IDEBK  |d OCLCF  |d IDB  |d UAB  |d IOG  |d ESU  |d Z5A  |d JBG  |d IAD  |d ICW  |d ICN  |d OTZ  |d OCLCQ  |d U3W  |d GBVCP  |d OCLCO  |d CAUOI  |d OCLCQ  |d KSU  |d OCLCQ  |d UKMGB  |d AUD  |d UWW  |d UX1  |d UKAHL  |d OCLCQ  |d SFB 
020 |a 9783319460246  |q (electronic bk.) 
020 |z 9783319460239 
024 7 |a 10.1007/978-3-319-46024-6  |2 doi 
035 |a (OCoLC)962750892  |z (OCoLC)1087034239  |z (OCoLC)1091729510  |z (OCoLC)1156067760 
100 1 |a Grüne, Lars,  |d 1967-  |e author. 
245 1 0 |a Nonlinear model predictive control :  |b theory and algorithms /  |c Lars Grüne, Jürgen Pannek. 
250 |a Second edition. 
264 1 |a Cham :  |b Springer,  |c 2016. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Communications and control engineering 
504 |a Includes bibliographical references and index. 
505 0 |a Introduction -- Discrete-Time and Sampled-Data Systems -- Nonlinear Model Predictive Control -- Infinite-Horizon Optimal Control -- Stability and Suboptimality Using Stabilizing Constraints -- Stability and Suboptimality Without Stabilizing Constraints -- Feasibility and Robustness -- Economic Nonlinear Model Predictive Control -- Distributed Nonlinear Model Predictive Control -- Variants and Extensions -- Numerical Discretization -- Numerical Optimal Control of Nonlinear Systems -- Appendix: NMPC Software Supporting This Book. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. An introduction to nonlinear optimal control algorithms yields essential insights into how the nonlinear optimization routine--the core of any nonlinear model predictive controller--works. Accompanying software in MATLAB® and C++ (downloadable from extras.springer.com/), together with an explanatory appendix in the book itself, enables readers to perform computer experiments exploring the possibilities and limitations of NMPC. This book (second edition) has been substantially rewritten, edited and updated to reflect the significant advances that have been made since the publication of its predecessor, including: • a new chapter on economic NMPC relaxing the assumption that the running cost penalizes the distance to a pre-defined equilibrium; • a new chapter on distributed NMPC discussing methods which facilitate the control of large-scale systems by splitting up the optimization into smaller subproblems; • an extended discussion of stability and performance using approximate updates rather than full optimization; • replacement of the pivotal sufficient condition for stability without stabilizing terminal conditions with a weaker alternative and inclusion of an alternative and much simpler proof in the analysis; and • further variations and extensions in response to suggestions from readers of the first edition. Though primarily aimed at academic researchers and practitioners working in control and optimization, the text is self-contained, featuring background material on infinite-horizon optimal control and Lyapunov stability theory that also makes it accessible for graduate students in control engineering and applied mathematics. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Predictive control. 
650 0 |a Nonlinear control theory. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Pannek, Jürgen,  |e author. 
776 0 8 |i Printed edition:  |z 9783319460239 
830 0 |a Communications and control engineering. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-46024-6  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99550  |d 99550