Alberto Bemporad, Francesco Borrelli, Manfred Morari
Predictive Control for Linear and Hybrid Systems
Alberto Bemporad, Francesco Borrelli, Manfred Morari
Predictive Control for Linear and Hybrid Systems
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With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).
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With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 446
- Erscheinungstermin: 1. November 2017
- Englisch
- Abmessung: 260mm x 208mm x 28mm
- Gewicht: 1174g
- ISBN-13: 9781107016880
- ISBN-10: 1107016886
- Artikelnr.: 47377759
- Verlag: Cambridge University Press
- Seitenzahl: 446
- Erscheinungstermin: 1. November 2017
- Englisch
- Abmessung: 260mm x 208mm x 28mm
- Gewicht: 1174g
- ISBN-13: 9781107016880
- ISBN-10: 1107016886
- Artikelnr.: 47377759
Francesco Borrelli is a chaired Professor at the Department of Mechanical Engineering of the University of California, Berkeley. Since 2004 he has served as a consultant for major international corporations in the area of real-time predictive control. He was the founder and CTO of BrightBox Technologies Inc., and is the co-director of the Hyundai Center of Excellence in Integrated Vehicle Safety Systems and Control at the University of California, Berkeley. His research interests include constrained optimal control, model predictive control and its application to advanced automotive control, robotics and energy efficient building operation.
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/¿ 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
References
Index.
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/¿ 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
References
Index.
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/¿ 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
References
Index.
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/¿ 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
References
Index.