基于遗传算法的模糊神经控制器的设计与仿真

The Design and Simulation of Fuzzy-Nural Controller Based on Genetic Algorithms

根据遗传算法和智能控制的特点,提出了一种基于遗传算法的模糊神经网络控制器,遗传算法主要优化模糊神经控制器的隶属度参数和第三层的网络节点。对优化后的控制器进行了仿真比较研究.仿真结果表明,该控制器有较好的控制性能。

With the characters of GA and intell gent control,a new FNNC based on GA is presented in this paper. The GA is utilized to optimize the membership function parameters and network node of third layer. We simulated the optimized controller. Simulation results show that the proposed controller offers good performance.