一类基于模糊辨识器的非线性动态系统辨识

基金项目:

安徽省自然科学基金资助项目,基金号：99J10168

详细信息

Identification of Nonlinear Dynamic System Based on Fuzzy Identifier

Department of Automation,East China Institute of Metallurgy Anhui Maanshan 243002

摘要: 针对模糊辨识器的参数优化,提出了将改进的遗传算法(MGA)应用于模糊辨识器的离线学习,并在此基础上采用BP算法对其参数在线调整,实现了非线性动态系统模糊辨识。解决了输入仅为一维语言变量时,模糊辨识器的实现问题。仿真结果证实了该方法的有效性。
- 模糊辨识器 /
- 动态系统辨识 /
- 遗传算法 /
- BP算法
Abstract: In order to optimize parameters of fuzzy identifier, this paper proposes a scheme, which deals with the off-line analysis of fuzzy identifier by MGA. BP-algorithm is employed to implement the fuzzy identification of nonlinear dynamic system.When input is one language variable, this scheme is proved to be realizable. The simulation results are also given in this paper.
- fuzzy identifier /
- dynamic system identification /
- genetic algorithm /
- BP algorithm