Predictive Control for Linear and Hybrid Systems (Paperback)

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.

這本獨特的書全面介紹了在過去二十五年來工業界中主導的先進控制方法「模型預測控制（MPC）」。以簡單統一的方法，並關注實時實施，該書涵蓋了預測控制理論，包括MPC控制器的穩定性、可行性和魯棒性。在線性系統與線性約束、切換線性系統以及更一般的線性混合系統的背景下，介紹了明確MPC的理論，其中非線性最優反饋控制器可以高效計算。作者們根據多年的實踐經驗，並使用眾多示例和實際應用，討論了設計預測控制法則所需的技術，包括多面體操作的算法、數學和多參數編程，以及如何驗證理論性質並實施預測控制策略。最重要的算法在附帶的免費線上MATLAB工具箱中提供，方便讀者輕鬆獲取示例解答。《線性和混合系統的預測控制》是研究生、博士生和高級控制從業人員在預測控制的理論和/或實施方面的理想參考書。