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一维退化偏微分多智能体系统的迭代学习控制
引用本文:张丹,傅勤.一维退化偏微分多智能体系统的迭代学习控制[J].苏州市职业大学学报,2021(1):26-31.
作者姓名:张丹  傅勤
作者单位:苏州科技大学数理学院
基金项目:国家自然科学基金资助项目(11971343)。
摘    要:研究一类退化多智能体系统的迭代学习控制问题,该类系统是由一维双曲型退化偏微分方程构建而成。基于网络拓扑结构,利用邻近智能体的信息构建得到基于一致性的迭代学习控制协议。当该学习律作用于系统,迭代次数趋于无穷时,该一致性误差能够收敛于零。仿真结果验证了算法的有效性。

关 键 词:多智能体系统  迭代学习控制  退化方程

Iterative Learning Control for 1-D Degenerate Partial Differential Multi-agent System
ZHANG Dan,FU Qin.Iterative Learning Control for 1-D Degenerate Partial Differential Multi-agent System[J].Journal of Suzhou Vocational University,2021(1):26-31.
Authors:ZHANG Dan  FU Qin
Institution:(School of Mathematics and Physics,Suzhou University of Science and Technology,Suzhou 215009,China)
Abstract:The problem of iterative learning control for a class of degenerate multi-agent systems is studied.And the considered system is goverened by 1-D degenerate hyperbolic partial differential equation.Based on the network topology structure,a consensus-based iterative learning control protocol is proposed by using the nearest neighbor knowledge.When the iterative learning control law is applied to the systems,the consensus errors can converge to zero as the iteration index tends to infinity.Simulation results demonstrate the effectiveness of the algorithm.
Keywords:multi-agent system  iterative learning control  degenerate equations
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