Control of Nonlinear and Hybrid Process Systems : Designs for Uncertainty, Constraints and Time-Delays :  Designs for Uncertainty, Constraints and Time-Delays - Panagiotis D. Christofides

Control of Nonlinear and Hybrid Process Systems : Designs for Uncertainty, Constraints and Time-Delays

Designs for Uncertainty, Constraints and Time-Delays

By: Panagiotis D. Christofides, Nael El-Farra

Paperback | 1 November 2005

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This monograph provides insight and fundamental understanding into the feedback control of nonlinear and hybrid process systems. It presents state-of-the-art methods for the synthesis of nonlinear feedback controllers for nonlinear and hybrid systems with uncertainty, constraints and time-delays with numerous applications, especially to chemical processes. It covers both state feedback and output feedback (including state estimator design) controller designs. Control of Nonlinear and Hybrid Process Systems includes numerous comments and remarks providing insight and fundamental understanding into the feedback control of nonlinear and hybrid systems, as well as applications that demonstrate the implementation and effectiveness of the presented control methods. The book includes many detailed examples which can be easily modified by a control engineer to be tailored to a specific application. This book is useful for researchers in control systems theory, graduate students pursuing their degree in control systems and control engineers.

Industry Reviews

From the reviews:

"The monograph ... presents a fundamental exposition and insight into the nature of nonlinear and hybrid control methods for dynamic systems with uncertainty, constraints, and time delays. ... It is an excellent up-to-date authoritative reference covering original results presented in a rigorous, unified framework with numerous practical examples. The monograph is intended for researchers, graduate students and process control engineers working in the areas of control engineering and applied mathematics interested in nonlinear and hybrid control systems as well as process control applications." (Lubomir Bakule, Zentralblatt MATH, Vol. 1106 (8), 2007)

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