自动化与信息工程2025，Vol.46Issue(1)：20-28,35,10.DOI:10.3969/j.issn.1674-2605.2025.01.003
基于神经网络的非线性多智能体系统自适应脉冲控制
Adaptive Pulse Control of Nonlinear Multi-agent Systems Based on Neural Networks
摘要
Abstract
A distributed adaptive pulse control scheme based on neural networks is proposed for the consistent tracking problem of nonlinear multi-agent systems with unmeasurable states and external unknown disturbances.Firstly,construct a composite disturbance observer to solve the problem of system state awareness under the coupling of unmeasurable system states and external unknown disturbances.Then,by using an adaptive pulse update law,the neural network weight parameters can be quickly estimated to improve the transient performance of the system.Furthermore,based on the Lyapunov stability theory of pulse dynamic systems,it is proved that all signals in the closed-loop system are uniformly ultimately bounded.Finally,the effectiveness and superiority of the proposed scheme were verified through simulation experiments of a multi arm robotic arm system.关键词
非线性多智能体/径向基函数神经网络/自适应控制/脉冲控制/观测器Key words
nonlinear multi-agent system/radial basis function neural network/adaptive control/pulse control/observer分类
计算机与自动化引用本文复制引用
罗振发..基于神经网络的非线性多智能体系统自适应脉冲控制[J].自动化与信息工程,2025,46(1):20-28,35,10.基金项目
国家自然科学基金面上项目(62276070) （62276070）
