Output-feedback tracking control for interval type-2 polynomial fuzzy-model-based control systems

Bo Xiao, H.K. Lam, Ge Song, Hongyi Li

Research output: Contribution to journalArticlepeer-review

52 Citations (Scopus)
291 Downloads (Pure)

Abstract

In this paper, the output tracking control issues of polynomial-fuzzy-model-based (PFMB) systems equipped with mismatched interval type-2 (IT2) membership functions are investigated. The output-feedback IT2 polynomial fuzzy controller connected with the nonlinear plant in a closed loop drives the system states of the nonlinear plant to track those of a stable reference model. The system stability is investigated based on the Lyapunov stability theory under the sum-of-squares (SOS)-based analysis approach and the SOS-based stability conditions are derived subjecting to an H∞ performance. In addition, the fuzzy controller does not need to share the same membership functions with the plant. Moreover, the information of membership functions is included in the analysis to facilitate the analysis and relax the stability conditions. Numerical and experimental examples are presented to verify the effectiveness of the proposed tracking control approach.
Original languageEnglish
Pages (from-to)83-95
Number of pages13
JournalNEUROCOMPUTING
Volume242
Early online date22 Feb 2017
DOIs
Publication statusE-pub ahead of print - 22 Feb 2017

Keywords

  • Fuzzy tracking control
  • Interval type-2 fuzzy logic
  • Polynomial fuzzy-model-based (PFMB) control systems
  • Stability analysis
  • Sum of squares (SOS)

Fingerprint

Dive into the research topics of 'Output-feedback tracking control for interval type-2 polynomial fuzzy-model-based control systems'. Together they form a unique fingerprint.

Cite this