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Control of Eating Behavior Using a Novel Feedback System
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Static output feedback stabilization of networked control systems with a parallel-triggered scheme.

Zhiying Wu1, Yan Wang2, Junlin Xiong2

  • 1Department of Automation, University of Science and Technology of China, Hefei 230026, China; Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong.

ISA Transactions
|November 4, 2018
PubMed
Summary

This study introduces a novel parallel-triggered static output feedback control for networked systems. It reduces data transmission rates while ensuring system stability using Lyapunov theory and linear matrix inequalities.

Keywords:
Co-designEvent-triggered schemeNetworked control systemsParallel-triggered schemeStatic output feedback

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Area of Science:

  • Control Systems Engineering
  • Networked Control Systems
  • Stability Theory

Background:

  • Networked control systems (NCS) face challenges in data transmission rates and maintaining stability.
  • Static output feedback control is crucial for NCS but often requires high data rates.

Purpose of the Study:

  • To investigate the parallel-triggered static output feedback stabilization problem for linear NCS.
  • To propose a new parallel-triggered scheme that reduces transmission rates while ensuring global asymptotic stability.

Main Methods:

  • Modeling the NCS as a time-delay system.
  • Employing Lyapunov stability theory to establish sufficient conditions for stability.
  • Utilizing linear matrix inequalities (LMIs) for analysis and controller design.

Main Results:

  • A novel parallel-triggered scheme using relative and absolute error information is proposed.
  • Sufficient conditions for global asymptotic stability are derived in terms of LMIs.
  • A co-design algorithm optimizes trigger parameters and controller gain to minimize transmission rate.

Conclusions:

  • The proposed parallel-triggered scheme effectively reduces transmission rates in NCS.
  • Global asymptotic stability is maintained, demonstrating the efficacy of the method.
  • The co-design approach provides optimal parameters for enhanced NCS performance.