现代电子技术2024，Vol.47Issue(11)：105-112,8.DOI:10.16652/j.issn.1004-373x.2024.11.018
非线性多智能体系统的固定时间分布式优化算法研究
Fixed-time distributed optimization algorithm for nonlinear multi-agent systems
摘要
Abstract
A fixed-time adaptive neural network output-feedback control strategy is proposed for the distributed optimization of nonlinear multi-agent systems(MASs).On the basis of the penalty function method,the consensus constraint is removed and the global objective function is reconstructed.To avoid the calculation of partial derivatives and the "complexity explosion" in the backstepping process,a fixed-time controller based on command filtering is designed and the filter errors are compensated by introducing compensating signals.It is proved on the basis of Lyapunov stability theory that all output signals in the system can reach the optimal solution in a fixed time.The simulation results prove the effectiveness of the proposed approach.关键词
多智能体系统/分布式优化/固定时间/命令滤波/自适应反演/自适应神经网络Key words
MASs/distributed optimization/fixed time/command filtering/adaptive backstepping/adaptive neural network分类
信息技术与安全科学引用本文复制引用
孙庆,杨慧,么娆..非线性多智能体系统的固定时间分布式优化算法研究[J].现代电子技术,2024,47(11):105-112,8.基金项目
动态多目标相控阵超声图像束高效同步自适应三维空间定位精度提升机理研究(62171271) （62171271）
