关键词: 全维状态观测器, 多智能体, 遗传算法

Abstract: The output and input of the controlled system can be measured directly as the input signal of the observer system, and the state signal and the state variable of the controlled system are equivalent. With the countdown of the ITAE indicators 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.

Key words: full dimension state observer, multi-agent, genetic algorithm