Authors : R. Rajesh and T. Sureshkumar
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.
R. Rajesh and T. Sureshkumar , 2008. Simultaneous Design of T-S Fuzzy Controllers and Observers Using GA. International Journal of Soft Computing, 3: 315-320.