International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
Abstract
Fuzzy control can be used to improve existing controller systems by adding an extra layer of intelligence to the current control method. But most of the cases it is very difficult to measure the state variables. Various design methods are available to design fuzzy observers which can be used to estimate the state variables. But simultaneous design of fuzzy controllers and observers using genetic algorithm is not reported so far. This study presents the Simultaneous Design of Takagi-Sugeno Fuzzy Controllers and Observers using Genetic Algorithm. Benchmarking control problem, namely the inverted pendulum system is simulated with the designed fuzzy controller and observer and the results are promising.
How to cite this article:
R. Rajesh and T. Sureshkumar . Simultaneous Design of T-S Fuzzy Controllers and Observers Using GA.
DOI: https://doi.org/10.36478/ijscomp.2008.315.320
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2008.315.320