Network Information Systems, 9781611977530
Hardcover
Energy, entropy, and control unify network systems in a dynamical framework.

Network Information Systems

a dynamical systems approach

$281.98

  • Hardcover

    620 pages

  • Release Date

    30 August 2023

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Summary

Network Information Systems: A Dynamical Systems Approach

This text presents a unique treatment of network control systems. Drawing from fundamental principles of dynamical systems theory and dynamical thermodynamics, the authors develop a continuous-time, discrete-time, and hybrid dynamical system and control framework for linear and nonlinear large-scale network systems. The proposed framework extends the concepts of energy, entropy, and temperature to undirected and directed info…

Book Details

ISBN-13:9781611977530
ISBN-10:1611977533
Series:Other Titles in Applied Mathematics
Author:Wassim M. Haddad, Qing Hui, Junsoo Lee
Publisher:Society for Industrial & Applied Mathematics,U.S.
Imprint:Society for Industrial & Applied Mathematics,U.S.
Format:Hardcover
Number of Pages:620
Release Date:30 August 2023
Weight:272g
About The Author

Wassim M. Haddad

Wassim M. Haddad is a professor, the David Lewis Chair in Dynamical Systems and Control, and the chair of the Flight Mechanics and Control Discipline at the School of Aerospace Engineering at Georgia Institute of Technology. He also holds a joint professor appointment with the School of Electrical and Computer Engineering. His contributions to the development of nonlinear control theory and its application to aerospace, electrical, and biomedical engineering are documented in over 700 journal and conference papers and eight books. Dr. Haddad is an NSF Presidential Faculty Fellow, a member of the Academy of Nonlinear Sciences, an IEEE Fellow, an AAIA Fellow, and the recipient of the AIAA Pendray Aerospace Literature Award.

Qing Hui is an associate professor in the Department of Electrical and Computer Engineering at the University of Nebraska-Lincoln. Prior to this, he was assistant professor and associate professor in the Department of Mechanical Engineering at Texas Tech University. His research interests include network robustness and vulnerability analysis, consensus, synchronization and control of network systems, network optimization, network interdependency and cascading failures, network fault detection and diagnosis, swarm optimization, hybrid systems, biomedical systems, software and hardware acceleration-based control designs, and high-performance scientific computing.

Junsoo Lee is an assistant professor in the Department of Mechanical Engineering at the University of South Carolina. His research interests include stability theory, optimal control, multiagent systems, network control, and stochastic systems and control.

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