Describing function analysis of uncertain fuzzy vehicle control systems

作者：Perng; Jau Woei

来源：Neural Computing & Applications, 2012, 21(3): 555-563.

DOI：10.1007/s00521-011-0532-7

• Describing function
• Fuzzy control
• Kharitonov theorem
• Parameter space
• Limit cycle

In this paper, some useful frequency domain methods including describing function, parameter space, and Kharitonov approach are applied to analyze the stability of an uncertain fuzzy vehicle control system for limit cycle prediction. A systematic procedure is proposed to solve this problem. The fuzzy controller can be linearized by the use of classical describing function firstly. By doing so, it is feasible to treat the stability problem of a fuzzy control system as linear one. In order to consider the robustness of a fuzzy vehicle control system, parameter space method and Kharitonov approach are then employed for plotting the stability boundaries. Furthermore, the effect of transport delay is also addressed. More information of limit cycles can be obtained by this approach. This work shows that the limit cycles caused by a static fuzzy controller can be easily suppressed if the system parameters are chosen carefully.

• 出版日期2012-4
• 单位中山大学