Effect of cell map granularity on fuzzy control system analysis

Author

Papa, Mauricio ; Tai, Heng-Ming ; Shenoi, Sujeet

Author_Institution

Center for Intelligent Syst., Tulsa Univ., OK, USA

Volume

1

fYear

1996

fDate

8-11 Sep 1996

Firstpage

411

Abstract

Cell mapping is a simulation technique for analyzing the global performance characteristics of control systems. It simplifies the task of analyzing a continuous phase space by partitioning it into a finite number of disjoint cells. Each cell comprising an infinite number of states is abstracted by its center-point. Continuous system trajectories are approximated by cell transition sequences. Lumping system states into cells and abstracting cells by their center-points can produce significant errors. This paper investigates the effect of cell granularity on various types of cell mapping errors. The results provide useful guidelines for applying cell mapping techniques to fuzzy controller design and evaluation

Keywords

control system analysis; fuzzy control; nonlinear control systems; phase space methods; cell map granularity; cell transition sequences; continuous phase space partitioning; disjoint cells; fuzzy control system analysis; global performance characteristics analysis; Analytical models; Continuous time systems; Control systems; Fuzzy control; Guidelines; Intelligent systems; Nonlinear systems; Performance analysis; System performance; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-3645-3

Type

conf

DOI

10.1109/FUZZY.1996.551776

Filename

551776