计算机工程与应用2017，Vol.53Issue(5)：140-146,7.DOI:10.3778/j.issn.1002-8331.1507-0215
全维状态观测器的演化设计
Evolutionary design of full dimensional state observer
刘鹏皓 1周永华1
作者信息
- 1. 广西大学 电气工程学院,南宁 530004
- 折叠
摘要
Abstract
The output and input of the controlled system can be measured directly as the input signal of the observer sys-tem, and the state signal and the state variable of the controlled system are equivalent. With the countdown of the ITAE in-dicators as the objective function, the environmental perception and reaction ability of the agent is combined with genetic algorithm, and it puts forward the multi-agent genetic algorithm to optimize the objective function, and then designs the state observer's output feedback matrix. The combination of multi-agent system and genetic algorithm can improve the parallelism of individual in GA, so as to greatly improve the convergence speed and accuracy of the algorithm.关键词
全维状态观测器/多智能体/遗传算法Key words
full dimension state observer/multi-agent/genetic algorithm分类
信息技术与安全科学引用本文复制引用
刘鹏皓,周永华..全维状态观测器的演化设计[J].计算机工程与应用,2017,53(5):140-146,7.
