Genetic-Algorithm-Based Sliding Mode Stabilization for Networked Switched Systems With Unreliable Channels

Wenhai Qi, Ning Zhang, Choon Ki Ahn, Guangdeng Zong

Research output: Contribution to journalArticlepeer-review


This study aims to establish a sliding mode stabilization strategy for discrete networked switched systems subject to unreliable channels. A channel fading model is proposed to characterize the underlying unreliable channels under the influence of signal reflection and obstacle shadows in a networked environment. Under the framework of a common sliding mode surface, a novel sliding mode control (SMC) mechanism is designed for the system. Subsequently, the average dwell time approach is used to construct sufficient conditions to ensure the mean square exponential stability of networked switched systems models. The state trajectory can reach the bounded sliding region and then remain unchanged. Utilizing the objective performance of optimal reachability, an effective SMC strategy is constructed by using the binary genetic algorithm, which can minimize the sliding region by identifying the ideal sliding gain. The effectiveness of control is demonstrated through the GE-90 aero-engine model.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalIEEE Transactions on Control of Network Systems
Publication statusAccepted/In press - 2024

Bibliographical note

Publisher Copyright:


  • Average dwell time
  • channel fading
  • Control systems
  • Fading channels
  • Genetic algorithms
  • networked switched systems
  • sliding mode surface
  • Switched systems
  • Switches
  • Uncertainty
  • Wireless communication

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications
  • Control and Optimization


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