Stability and Control of Large–Scale Dynamical Systems – A Vector Dissipative Systems Approach: 41 (Princeton Series in Applied Mathematics)
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Book Details
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Author: Wassim M. Haddad
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Publisher: Princeton University Press
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Language: English
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Edition: Reprint
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ISBN: 9780691153469
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Binding: Hardcover
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Format: Import
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Number of Pages: 384
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Release Date: December 4, 2011
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Package Dimensions: 10.1 x 7.2 x 1.1 inches
About The Book
Nonlinear Dynamical Systems and Control by Wassim M. Haddad offers a comprehensive and advanced framework for the stability analysis and control design of nonlinear large-scale interconnected dynamical systems. These systems, which are fundamental to various scientific and engineering fields, span across domains such as aerospace, power, communications, and network systems. Haddad’s work provides the most thorough treatment of vector Lyapunov function methods, vector dissipativity theory, and decentralized control architectures, addressing the intricacies of large-scale systems with strong interconnections.
This book is meticulously designed to present stability and control concepts for large-scale systems in a clear, theorem-proof format, making it an essential resource for professionals in control theory, dynamical systems, and applied mathematics. It covers a wide range of systems—continuous-time, discrete-time, and hybrid—and offers detailed methods for finite-time stability, finite-time decentralized stabilization, and energy-based decentralized control.
The book is invaluable for those working with large-scale systems requiring decentralized analysis and control system synthesis methods due to their size and complexity. The author introduces key techniques such as thermodynamic modeling, maximum entropy control, and energy-based control strategies. Through real-world examples and applications, Haddad demonstrates how these advanced control techniques are used in practice.
Nonlinear Dynamical Systems and Control is a vital resource for engineers, control theorists, and applied mathematicians, providing them with both the theoretical tools and practical insights needed to analyze and design modern complex large-scale systems.

