Optimal Networked Control Systems with MATLAB

Author:   Jagannathan Sarangapani (Missouri University of Science and Technology, Rolla, USA) ,  Hao Xu (Texas A&M University–Corpus Christi, USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367778675


Pages:   335
Publication Date:   31 March 2021
Format:   Paperback
Availability:   In Print   Availability explained
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Optimal Networked Control Systems with MATLAB


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Author:   Jagannathan Sarangapani (Missouri University of Science and Technology, Rolla, USA) ,  Hao Xu (Texas A&M University–Corpus Christi, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.512kg
ISBN:  

9780367778675


ISBN 10:   036777867
Pages:   335
Publication Date:   31 March 2021
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
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.

Table of Contents

Introduction to Networked Control Systems. Background on Lyapunov Stability and Stochastic Optimal Control. Optimal Adaptive Control of Uncertain Linear Network Control Systems. Optimal Control of Unknown Quantized Network Control Systems. Optimal Control of Uncertain Linear Networked Control Systems in Input–Output Form with Disturbance Inputs. Optimal Control of Uncertain Nonlinear Networked Control Systems via Neuro Dynamic Programming. Optimal Design for Nonlinear Two-Player Zero-Sum Games under Communication Constraints. Distributed Joint Optimal Network Scheduling and Controller Design for Wireless Networked Control Systems. Event-Sampled Distributed Networked Control Systems. Optimal Control of Uncertain Linear Control Systems under a Unified Communication Protocol.

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Author Information

Jagannathan Sarangapani (referred to as S. Jagannathan) is a Rutledge-Emerson endowed chair professor of electrical and computer engineering and the site director for the National Science Foundation Industry/University Cooperative Research Center on Intelligent Maintenance Systems at the Missouri University of Science and Technology, Rolla, USA (former University of Missouri-Rolla, USA). Widely published and highly decorated with 20 US patents, he is a fellow of the Institute of Measurement and Control, UK, and the Institution of Engineering and Technology, UK. He has been on the organizing committees of several IEEE conferences, and served as the IEEE Control Systems Society Intelligent Control Technical Committee chair. Hao Xu earned his master’s degree in electrical engineering from Southeast University, Nanjing, China, in 2009, and his Ph.D from the Missouri University of Science and Technology, Rolla, USA (formerly, the University of Missouri-Rolla, USA), in 2012. Currently, he is an assistant professor in the College of Science and Engineering and the director of the Unmanned Systems Research Laboratory at Texas A&M University–Corpus Christi, USA. His research interests include autonomous unmanned aircraft systems, multi-agent systems, wireless passive sensor networks, localization, detection, networked control systems, cyber-physical systems, distributed network protocol design, optimal control, and adaptive control.

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