资料包含三个部分： 1：多智能体系统一致性迭代学习控制的理论和算法 2：运用Hopfield神经网络求解优化问题 3：模糊系统设计的原理和算法-Theory and algorithms of multi-agent system consistency Iterative Learning Control 2:: Data consists of three parts: a use of Hopfield neural networks for solving optimizat

基于迭代学习控制ILC的多智能体一致性跟踪研究，算法设计-Iterative learning control for multi-agent systems consensus tracking

consensus multi-agent systems fuzzy control