GAVLC: GA with Variable Length Chromosome for the simultaneous design and stability analysis of T-S fuzzy controllers

Author

Rajesh, R. ; Kaimal, M.R.

Author_Institution

Sch. of Comput. Sci. & Eng., Bharathiar Univ., Coimbatore

fYear

2008

fDate

1-6 June 2008

Firstpage

1389

Lastpage

1396

Abstract

Most of the design techniques of T-S fuzzy controllers assumes that there exists an approximate T-S model of the system with fixed antecedent parts & rules and uses techniques like GA, LMI, etc for the optimal design of the gain values. This paper presents a novel integrated approach for the design and stability analysis of T-S fuzzy controllers using GA with variable length chromosomes (VLCs) and LMI. This approach helps to find out the optimal parameters of the antecedent parts of the rules along with rule optimization and also to optimize the consequent parts.

Keywords

control system synthesis; fuzzy control; genetic algorithms; linear matrix inequalities; stability; LMI; T-S fuzzy controllers; genetic algorithms; stability analysis; variable length chromosome; Algorithm design and analysis; Biological cells; Computer science; Control systems; Design optimization; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Genetic algorithms; Stability analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on

Conference_Location

Hong Kong

ISSN

1098-7584

Print_ISBN

978-1-4244-1818-3

Electronic_ISBN

1098-7584

Type

conf

DOI

10.1109/FUZZY.2008.4630553

Filename

4630553