Optimal Networked Control Systems with MATLAB
Crc Press Inc (Verlag)
978-1-4822-3525-8 (ISBN)
The book begins by providing background on NCS, networked imperfections, dynamical systems, stability theory, and stochastic optimal adaptive controllers in discrete time for linear and nonlinear systems. It lays the foundation for reinforcement learning-based optimal adaptive controller use for finite and infinite horizons. The text then:
Introduces quantization effects for linear and nonlinear NCS, describing the design of stochastic adaptive controllers for a class of linear and nonlinear systems
Presents two-player zero-sum game-theoretic formulation for linear systems in input–output form enclosed by a communication network
Addresses the stochastic optimal control of nonlinear NCS by using neuro dynamic programming
Explores stochastic optimal design for nonlinear two-player zero-sum games under communication constraints
Treats an event-sampled distributed NCS to minimize transmission of state and control signals within the feedback loop via the communication network
Covers distributed joint optimal network scheduling and control design for wireless NCS, as well as the effect of network protocols on the wireless NCS controller design
An ideal reference for graduate students, university researchers, and practicing engineers, Optimal Networked Control Systems with MATLAB® 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.
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.
| Reihe/Serie | Automation and Control Engineering |
|---|---|
| Zusatzinfo | 5 Tables, black and white; 102 Illustrations, black and white |
| Verlagsort | Bosa Roca |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 816 g |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| ISBN-10 | 1-4822-3525-0 / 1482235250 |
| ISBN-13 | 978-1-4822-3525-8 / 9781482235258 |
| Zustand | Neuware |
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