Decentralized Robust Fuzzy Sliding Mode Control Design of Interconnected Uncertain System

Thai Quang Vinh, Kaoru Hirota

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

We present a fuzzy approach to design a robust subop-timal control for decentralized interconnected system. NNi denote the non-linear interactions between the subsystems are uncertain and in many real-life situation it can be represented by the differences of actual behavior from nominal description of sub-systems (e, e). Fuzzy sliding mode control is designed for sub-system to track the prespecified trajectory in phase plane (e, e) according it's states (x,x). Fuzzy adaptation is proposed for tuning closed-related control subsystem on the sliding surface toward new equilibrium points. The adaptation strategy is determined by rule bases based on considering controller as PID controller with variable structure, switching between different PID settings with different inputs (e, e).

Original languageEnglish
Pages (from-to)56-61
Number of pages6
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume6
Issue number1
DOIs
Publication statusPublished - Jan 2002
Externally publishedYes

Keywords

  • decentralized interconnected system
  • fuzzy sliding mode control
  • robust control
  • stability

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