Ant colony optimization algorithm and its application to Neuro-Fuzzy controller design

作者：Zhao Baojiang^*; Li Shiyong

来源：Journal of Systems Engineering and Electronics, 2007, 18(3): 603-610.

• neuro-fuzzy controller
• ant colony algorithm
• function optimization
• genetic algorithm
• inverted pendulum system

An adaptive ant colony algorithm is proposed based on dynamically adjusting the strategy of updating trail information. The algorithm can keep good balance between accelerating convergence and averting precocity and stagnation. The results of function optimization show that the algorithm has good searching ability and high convergence speed. The algorithm is employed to design a neuro-fuzzy controller for real-time control of an inverted pendulum. In order to avoid the combinatorial explosion of fuzzy rules due to multivariable inputs, a state variable synthesis scheme is employed to reduce the number of fuzzy rules greatly. The simulation results show that the designed controller can control the inverted pendulum successfully.

• 出版日期2007-9
• 单位哈尔滨工业大学; 牡丹江师范学院