Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals

This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advan...

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Bibliographic Details
Main Authors: Park, Ju H. (Author), Shen, Hao (Author), Chang, Xiao-Heng (Author), Lee, Tae H. (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Studies in Systems, Decision and Control, 170
Subjects:
Control engineering.
Computational intelligence.
Control and Systems Theory.
Computational Intelligence.
Online Access:Full-text access
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Table of Contents:
  • Introduction
  • Network-based Control with Asynchronous Samplings and Quantizations
  • Quantized Static Output Feedback Control For Discrete-Time Systems
  • Sampled-Data Control for a Class of Linear Systems with Randomly Occurring Missing Data
  • Reliable Event-triggered Retarded Dynamic Output Feedback H∞ Control for Networked Systems
  • Reliable H∞ Event-triggered Control for Markov Jump Systems
  • Fuzzy Resilient Energy-to-Peak Filter Design for Continuous-time Nonlinear Systems
  • Fuzzy Generalized H2 Filtering For Nonlinear Discrete-Time Systems With Measurement Quantization
  • Event-triggered Dissipative Filtering for Networked semi-Markov Jump Systems
  • Network-based H∞ State Estimation for Neural Networks Using Limited Measurement
  • Mixed H∞/passive Synchronization for Complex Dynamical Networks with Sampled-data Control
  • Index.

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