Network Information Systems: A Dynamical Systems Approach

Author:   Wassim M. Haddad ,  Qing Hui ,  Junsoo Lee
Publisher:   Society for Industrial & Applied Mathematics,U.S.
ISBN:  

9781611977530


Pages:   620
Publication Date:   31 August 2023
Format:   Hardback
Availability:   In Print   Availability explained
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Network Information Systems: A Dynamical Systems Approach


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Author:   Wassim M. Haddad ,  Qing Hui ,  Junsoo Lee
Publisher:   Society for Industrial & Applied Mathematics,U.S.
Imprint:   Society for Industrial & Applied Mathematics,U.S.
Weight:   0.272kg
ISBN:  

9781611977530


ISBN 10:   1611977533
Pages:   620
Publication Date:   31 August 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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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