This book discusses controller design in discrete time for networked control systems (NCS). The authors apply several powerful modern control techniques in discrete time to the design of intelligent controllers for such NCS. Detailed derivations, rigorous stability proofs, computer simulation examples, and downloadable MATLAB® codes are included for each case. An ideal reference for graduate students, university researchers, and practicing engineers, this book instills a solid understanding of neural network controllers and how to build them.
This book discusses controller design in discrete time for networked control systems (NCS). The authors apply several powerful modern control techniques in discrete time to the design of intelligent controllers for such NCS. Detailed derivations, rigorous stability proofs, computer simulation examples, and downloadable MATLAB® codes are included for each case. An ideal reference for graduate students, university researchers, and practicing engineers, this book instills a solid understanding of neural network controllers and how to build them.
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.
Inhaltsangabe
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.
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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