Optimal Control for Discrete Large Scale Nonlinear Systems Using Hierarchical Fuzzy Systems

Author

Masmoudi, Najla Krichen ; Rekik, Chokri ; Djemel, Mohamed ; Derbel, Nabil

Author_Institution

Res. Unit on Intell. Control, Design & Optimisation of Complex Syst. (ICOS), Sfax Eng. Sch., Sfax, Tunisia

fYear

2010

fDate

9-11 Feb. 2010

Firstpage

91

Lastpage

95

Abstract

This paper presents a method to compute optimal control strategies of discrete large scale nonlinear systems by using hierarchical fuzzy systems. The method is based on the decomposition principle of the global system into interconnected subsystems becoming easier to study. Then, the differential dynamic programming procedure is applied in order to obtain the rule basis. After that, we construct limpid-hierarchical Mamdani fuzzy system in order to compute optimal control laws, for each subsystem. Simulation results of a rotary crane show that the proposed method yields to satisfactory performances. The robustness of the proposed approach is verified.

Keywords

discrete systems; fuzzy systems; hierarchical systems; interconnected systems; nonlinear control systems; optimal control; decomposition principle; differential dynamic programming; discrete large scale nonlinear system; interconnected subsystem; limpid hierarchical Mamdani fuzzy system; optimal control; Dynamic programming; Fuzzy logic; Fuzzy systems; Influenza; Input variables; Intelligent control; Large-scale systems; Machine learning; Nonlinear systems; Optimal control; Decomposition; Hierarchical Fuzzy System; Nonlinear Systems; Optimal Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Computing (ICMLC), 2010 Second International Conference on

Conference_Location

Bangalore

Print_ISBN

978-1-4244-6006-9

Electronic_ISBN

978-1-4244-6007-6

Type

conf

DOI

10.1109/ICMLC.2010.32

Filename

5460763