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Predictive control for linear and hy...

Borrelli, Francesco.

Predictive control for linear and hybrid systems /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Predictive control for linear and hybrid systems // Francesco Borrelli, University of California, Berkeley, Alberto Bemporad, IMT Institute for Advanced Studies, Manfred Morari, Swiss Federal Institute of Technology (ETH)
作者:	Borrelli, Francesco.
其他作者:	Morari, Manfred
出版者:	New York :Cambridge University Press, : 2017.,
面頁冊數:	xxi, 423 p. :ill. ; : 25 cm.;
標題:	Predictive control - Congresses. -
ISBN:	9781107016880 (cloth)

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

Predictive control for linear and hybrid systems /Francesco Borrelli, University of California, Berkeley, Alberto Bemporad, IMT Institute for Advanced Studies, Manfred Morari, Swiss Federal Institute of Technology (ETH) - 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. Linear1/8 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 authorsshow 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)

LCCN: 2016042160 Subjects--Topical Terms:

636244
Predictive control
--Congresses.

LC Class. No.: TJ217.6 / B646 2017

Dewey Class. No.: 629.8

Predictive control for linear and hybrid systems /
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100 1 $a Borrelli, Francesco. $3 893290
245 1 0 $a Predictive control for linear and hybrid systems / $c Francesco Borrelli, University of California, Berkeley, Alberto Bemporad, IMT Institute for Advanced Studies, Manfred Morari, Swiss Federal Institute of Technology (ETH)
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. Linear1/8 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 authorsshow 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 $v Congresses. $3 636244 $3 731230
650 0 $a Linear programming $3 576311
700 1 $a Morari, Manfred $3 1129619
700 1 $a Bemporad, Alberto $3 1129618