Type-1/type-2 fuzzy logic systems optimization with RNA genetic algorithm for double inverted pendulum

This paper proposes a hybrid type-2 fuzzy logic system architecture with the aid of RNA genetic algorithm for a double inverted pendulum system. As an extension of type-1 fuzzy logic system, type-2 fuzzy logic system can effectively improve the control performance by uncertainty of membership function especially when we have to confront with corrupted data or unpredicted external disturbances. In this proposed method, the related parameters of type-1 and type-2 fuzzy logic systems are respectively optimized by using RNA genetic algorithm. Through computer simulation and comparisons, the better performance can be achieved by using optimized type-2 fuzzy logic system with RNA genetic algorithm.