摘要
提出了新的基于生态系统的Niche间接T-S(Takagi-Sugeno)自适应模糊控制,将含有参数的生态位贴近度函数作为模糊规则的后件,从而构成零阶的T-S模糊控制模型。采用Lyapunov合成方法设计控制器,并使用梯度下降法优化后件参数,最后得到了后件参数的自适应律,体现了生物个体的自适应能力,引入了生态位的模糊系统具有生物个体始终朝着有利于自身方向发展的特性。因此,所建立的模糊T-S系统具有更好的自适应性,可以获得更小的变动跟踪误差,并保证整个闭环系统全局稳定性。通过对生态系统的二维捕食系统的仿真验证了本方法的可行性。
A new indirect T-S （Takagi-Sugeno） adaptive fuzzy control based on niche of ecosystems is presented. Regarding the approach degree function of niche with unknown parameters as the consequent of fuzzy rules, the zero-order T-S fuzzy control based on niche is constructed. The controller is designed by using the method of Lyapunov＇s synthesis and the consequent parameters are determined by using a gradient descent method. Finally, the adaptive law of consequent parameters is gotten. The fuzzy system based on niche embodies biological individual＇s selbadaptivity, namely the individual is evolving in a direction that favors its development. So the proposed fuzzy T-S fuzzy system has better adaptivity, such as obtaining a smaller fluctuant tracking error, and the global stability of the closed-loop system can be assured. Simulation of two dimensional predator system tracking is carried out to verify the design approach.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2011年第10期2282-2287,共6页
Systems Engineering and Electronics
基金
国家自然科学基金(11072090)
校高级人才基金(10JDG093)资助课题
关键词
T—S模糊系统
间接自适应
生态位
贴近度
T-S （Takagi-Sugeno） fuzzy system
indirect adaptive
niche
approach degree
