Observer-based control of positive polynomial fuzzy systems with unknown time delay

Meng Han, H. K. Lam*, Yuandi Li, Fucai Liu, Changzhu Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)
155 Downloads (Pure)

Abstract

This paper presents a methodology to investigate the observer-based control for positive nonlinear systems with unknown time delay through analyzing the stability and positivity of positive polynomial fuzzy-model-based (PPFMB) observer-control systems with unknown time delay and unmeasurable premise variables. In order to widen the application of research results and relax the research results, the polynomial fuzzy observer-controller employs a membership function depending on estimated premise variables and the observer system matrix is treated as decision variable. This scenario will lead to non-convex stability and positivity conditions when the stability and positivity are analyzed based on the Lyapunov stability theory. To overcome this issue, some transformation techniques and matrix decoupling techniques (MDT) are adopted to turn the non-convex stability/positivity conditions into convex ones so that they can be handled by convex programming techniques. Finally, two simulation examples are presented to demonstrate the feasibility and validity of the analysis results.

Original languageEnglish
Pages (from-to)77-90
Number of pages14
JournalNeurocomputing
Volume349
Early online date11 Apr 2019
DOIs
Publication statusPublished - 15 Jul 2019

Keywords

  • Polynomial fuzzy controller
  • Polynomial fuzzy observer
  • Positive polynomial fuzzy-model-based (PPFMB) systems
  • Unknown time delay
  • Unmeasurable premise variables

Fingerprint

Dive into the research topics of 'Observer-based control of positive polynomial fuzzy systems with unknown time delay'. Together they form a unique fingerprint.

Cite this