摘要
针对多变量非线性系统 ,提出一种基于模糊组合变量的自适应加权控制方法。首先利用模糊逻辑系统构造模糊组合变量 ,通过赋予各个模糊组合变量不同的权重来形成多变量非线性系统的加权控制 ;然后利用反向传播算法对量化系数和加权系数进行学习 ,从而有效地解决了多变量模糊控制系统难以设计和实现多维控制器的问题。最后通过仿真实验证明了该方法的有效性。
A self-adaptive fuzzy controller for multivariable nonlinear system is designed. The fuzzy logic system is used to constitute fuzzy composed variables. A weighted control method is formed by giving each fuzzy composed variable a different weight according to the fuzzy composed variable'effect on the final decision. After that, the back propagation algorithm is used to rectify quantized parameters and weighted parameters which effectively solved the problem for design and realization of high dimension fuzzy controller. Simulation results show its validity.
出处
《控制与决策》
EI
CSCD
北大核心
2001年第2期191-194,共4页
Control and Decision
基金
国家自然科学基金项目! (6 9875 0 0 3)
