Accessibility of fuzzy control systems

Authors:
Mohammad Biglarbegian;Alireza Sadeghian;William W. Melek
Affiliations:
Computer Science Department, Ryerson University, Toronto and and Mechanical & Mechatronics Engineering Department, University of Waterloo, Waterloo;Computer Science Department, Ryerson University, Toronto;Mechanical & Mechatronics Engineering Department, University of Waterloo, Waterloo
Venue:
AIS'11 Proceedings of the Second international conference on Autonomous and intelligent systems
Year:
2011

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Abstract

This paper presents a systematic methodology for delineating the accessibility of fuzzy logic control systems (FLCSs). Accessibility is an essential prior step for determining the controllability of plants in which the state trajectories are verified if they are accessible to a full dimension set. Thus, accessibility is an important metric in control design. We propose a methodical approach of examining the accessibility of FLCSs through linearization. Two examples are provided to demonstrate the utility of the developed methodology. The approach presented herein is an attempt to derive the conditions for assessing the accessibility of FLCSs systematically and facilitate the design of accessible FLCSs which is of great interest to researchers in the control community.