Description: Predictive Control for Linear and Hybrid Systems With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC). Francesco Borrelli (Author), Alberto Bemporad (Author), Manfred Morari (Author) 9781107652873, Cambridge University Press Paperback, published 22 June 2017 440 pages 24.6 x 19 x 2 cm, 0.96 kg 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. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorithms feature in an accompanying free online MATLAB toolbox, which allows easy access to sample solutions. Predictive Control for Linear and Hybrid Systems is an ideal reference for graduate, postgraduate and advanced control practitioners interested in theory and/or implementation aspects of predictive control. 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. Subject Areas: Chemical engineering [TDCB], Optimization [PBU]
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BIC Subject Area 1: Chemical engineering [TDCB]
BIC Subject Area 2: Optimization [PBU]
Number of Pages: 440 Pages
Publication Name: Predictive Control for Linear and Hybrid Systems
Language: English
Publisher: Cambridge University Press
Item Height: 246 mm
Subject: Mathematics
Publication Year: 2017
Type: Textbook
Item Weight: 960 g
Subject Area: Chemical Engineering
Author: Manfred Morari, Francesco Borrelli, Alberto Bemporad
Item Width: 190 mm
Format: Paperback
