用GA寻优线性系统模糊控制器规则

控制精度和自适应能力一直是模糊控制应用中较难解决的问题，解决这一问题的关键在于选取适当的控制规则，而遗传算法可以较好地解决常规的数学优化技术所不能有效解决的问题。该文给出了对于具有修正因子的控制规则，采用遗传算法对其参数进行自调整的方法，它可提高模糊控制器的性能。通过仿真实验表明了该方法对于线性系统的控制是有效的。

Optimization of Linear Fuzzy Controller Using Genetic Algorithms

The precision and adaptive ability are difficult for fuzzy control application. The key is to make the control rule. The genetic algorithm can solve this question. This paper gives an optimum seeking method based on genetic algorithms for linear system fuzzy controller with correcting parameter. The method can improve the performance of fuzzy controller. The result shows that it is effective.