An observer-based adaptive type-2 fuzzy-neural controller for a class of MIMO systems with uncertainties

I. Hsum Li, Lian Wang Lee, Wei-Yen Wang, Kai Wei Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An observer-based adaptive controller based on a type-2 fuzzy neural network (type-2 FNN) is developed for a class of multi-input multi-output (MIMO) nonaffine nonlinear system. The interval type-2 fuzzy system is proposed in this paper as an alternative solution when a MIMO system has a large amount of uncertainties or the training data is corrupted by noise. By using implicit function theorem and Lyapunov theorem, the observer-based control law and the weight update law of the adaptive type-2 FNN controller are derived. Based on the design of the type-2 fuzzy neural network, the observer-based adaptive controller can improve its robustness to noise. In this paper, we prove that the proposed observer-based adaptive controller can guarantee that all signals involved are bounded and the outputs of the closed-loop system asymptotically track the desired output trajectories. Simulations results are reported to show the performance of the proposed control system mode and algorithms.

Original languageEnglish
Title of host publication2011 International Conference on Advanced Mechatronic Systems, ICAMechS 2011 - Final Program
Pages540-545
Number of pages6
Publication statusPublished - 2011 Oct 12
Event2011 International Conference on Advanced Mechatronic Systems, ICAMechS 2011 - Zhengzhou, China
Duration: 2011 Aug 112011 Aug 13

Publication series

Name2011 International Conference on Advanced Mechatronic Systems, ICAMechS 2011 - Final Program

Other

Other2011 International Conference on Advanced Mechatronic Systems, ICAMechS 2011
CountryChina
CityZhengzhou
Period11/8/1111/8/13

Keywords

  • Fuzzy Neural control
  • Interval type-2 Fuzzy Systems
  • MIMO nonaffine systems

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

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