Stability analysis of an adaptive fuzzy control system using Petri Nets and learning automata

S.G. Tzafestas and G.G. Rigatos

Mathematics and Computers in Simulation (MATCOM), 2000, vol. 51, issue 3, 315-339

Abstract: A hybrid intelligent control system that combines the theories of fuzzy logic and variable structure systems (VSS) is presented. This control architecture is viewed as a discrete event system (DES) and its properties are studied using the corresponding Petri Net diagram. The equivalence between this controller and a learning finite state automaton is revealed. The validity of the method is supported by simulation results concerning an arc-welding process and a mobile robot moving in a partially unknown environment.

Keywords: Adaptive fuzzy control; Sliding mode control; Lyapunov stability theory; Finite state automata; Petri Nets; Supervisory control; Discrete event systems; Hybrid intelligent control (search for similar items in EconPapers)
Date: 2000
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475499001275
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:51:y:2000:i:3:p:315-339

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().