Hybrid Feedback Control
Hybrid Feedback Control by Ricardo G. Sanfelice, published by Princeton University Press on January 12, 2021, is a comprehensive introduction to hybrid control systems and design. This edition, comprising 424 pages, explores the unique characteristics of hybrid control systems that incorporate both discrete changes and continuous changes. The book addresses the limitations of classical control theory in analyzing systems that exhibit these hybrid behaviors, providing a foundational understanding relevant across various disciplines, including biology, computer science, and engineering.
Readers will find a self-contained framework for analyzing and designing hybrid control systems, along with numerous examples and exercises to enhance their understanding. The text includes a Matlab toolbox and two open-source versions, making it a practical resource for students and researchers engaged in dynamical systems theory, applied mathematics, and automation. Each chapter begins with an insightful overview, guiding readers through the complexities of hybrid feedback control and its applications in fields such as robotics and cyber-physical systems.
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A comprehensive introduction to hybrid control systems and design
Hybrid control systems exhibit both discrete changes, or jumps, and continuous changes, or flow. An example of a hybrid control system is the automatic control of the temperature in a room: the temperature changes continuously, but the control algorithm toggles the heater on or off intermittently, triggering a discrete jump within the algorithm. Hybrid control systems feature widely across disciplines, including biology, computer science, and engineering, and examples range from the control of cellular responses to self-driving cars. Although classical control theory provides powerful tools for analyzing systems that exhibit either flow or jumps, it is ill-equipped to handle hybrid control systems.
In Hybrid Feedback Control, Ricardo Sanfelice presents a self-contained introduction to hybrid control systems and develops new tools for their analysis and design. Hybrid behavior can occur in one or more subsystems of a feedback system, and Sanfelice offers a unified control theory framework, filling an important gap in the control theory literature. In addition to the theoretical framework, he includes a plethora of examples and exercises, a Matlab toolbox (as well as two open-source versions), and an insightful overview at the beginning of each chapter.
Relevant to dynamical systems theory, applied mathematics, and computer science, Hybrid Feedback Control will be useful to students and researchers working on hybrid systems, cyber-physical systems, control, and automation.
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