國立虎尾科技大學 |

Language: English

Back

Predictive control for linear and hy...

Borrelli, Francesco.

Predictive control for linear and hybrid systems /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Predictive control for linear and hybrid systems // Francesco Borrelli, Alberto Bemporad, Manfred Morari.
Author:	Borrelli, Francesco.
other author:	Morari, Manfred.
Published:	New York :Cambridge University Press, : 2017.,
Description:	xxi, 423 p. :ill. ; : 25 cm.;
Subject:	Predictive control. -
ISBN:	9781107016880 (cloth) :

Predictive control for linear and hybrid systems /
Borrelli, Francesco.

Predictive control for linear and hybrid systems /Francesco Borrelli, Alberto Bemporad, Manfred Morari. - New York :Cambridge University Press,2017. - xxi, 423 p. :ill. ;25 cm.

Includes bibliographical references and index.

Machine generated contents note: Preface; Acknowledgements; Symbols and acronyms; Part I. Basics of Optimization: 1. Main concepts; 2. Linear and quadratic optimization; 3. Numerical methods for optimization; 4. Polyhedra and p-collections; Part II. Multiparametric Programming: 5. Multiparametric nonlinear programming; 6. Multiparametric programming: a geometric approach; Part III. Optimal Control: 7. General formulation and discussion; 8. Linear quadratic optimal control; 9. Linear 1/8 norm optimal control; Part IV. Constrained Optimal Control of Linear Systems: 10. Controllability, reachability and invariance; 11. Constrained optimal control; 12. Receding horizon control; 13. Approximate receding horizon control; 14. On-line control computation; 15. Constrained robust optimal control; Part V. Constrained Optimal Control of Hybrid Systems: 16. Models of hybrid systems; 17. Optimal control of hybrid systems.

"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. This book describes the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical, and multi-parametric programming. Through many examples, the authors show how to validate the theoretical properties and to implement predictive control policies. Examples of the most important algorithms are featured in an accompanying free online; toolbox, so that you can access sample solutions easily"--

ISBN: 9781107016880 (cloth) :NT4535

LCCN: 2016042160Subjects--Topical Terms:

557049
Predictive control.

LC Class. No.: TJ217.6 / .B67 2017

Dewey Class. No.: 629.8

Predictive control for linear and hybrid systems /
LDR:02676cam a2200229 a 4500 001 877352
005 20170928151811.0
008 171205s2017 nyua b 001 0 eng
010 $a 2016042160
020 $a 9781107016880 (cloth) : $c NT4535
020 $a 9781107652873 (pbk.)
035 $a 19381132
040 $a DLC $b eng $c NFU
041 0 $a eng
042 $a pcc
050 0 0 $a TJ217.6 $b .B67 2017
082 0 0 $a 629.8 $2 23
100 1 $a Borrelli, Francesco. $3 893290
245 1 0 $a Predictive control for linear and hybrid systems / $c Francesco Borrelli, Alberto Bemporad, Manfred Morari.
260 $a New York : $b Cambridge University Press, $c 2017.
300 $a xxi, 423 p. : $b ill. ; $c 25 cm.
504 $a Includes bibliographical references and index.
505 8 $a Machine generated contents note: Preface; Acknowledgements; Symbols and acronyms; Part I. Basics of Optimization: 1. Main concepts; 2. Linear and quadratic optimization; 3. Numerical methods for optimization; 4. Polyhedra and p-collections; Part II. Multiparametric Programming: 5. Multiparametric nonlinear programming; 6. Multiparametric programming: a geometric approach; Part III. Optimal Control: 7. General formulation and discussion; 8. Linear quadratic optimal control; 9. Linear 1/8 norm optimal control; Part IV. Constrained Optimal Control of Linear Systems: 10. Controllability, reachability and invariance; 11. Constrained optimal control; 12. Receding horizon control; 13. Approximate receding horizon control; 14. On-line control computation; 15. Constrained robust optimal control; Part V. Constrained Optimal Control of Hybrid Systems: 16. Models of hybrid systems; 17. Optimal control of hybrid systems.
520 $a "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. This book describes the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical, and multi-parametric programming. Through many examples, the authors show how to validate the theoretical properties and to implement predictive control policies. Examples of the most important algorithms are featured in an accompanying free online; toolbox, so that you can access sample solutions easily"-- $c Provided by publisher.
650 0 $a Predictive control. $3 557049
650 0 $a Linear programming. $3 528157
700 1 $a Morari, Manfred. $3 674773
700 1 $a Bemporad, Alberto. $3 1128831