动态事件触发下带有扰动的MASs无模型迭代二分一致控制  

Dynamic Event Triggered Based Model-free Iterative Bipartite Consensus Control for MASs with Disturbance

作　　者：毛子祥 侯忠生 MAO Zixiang;HOU Zhongsheng(College of Automation,Qingdao University,Qingdao 266071,China)

机构地区：[1]青岛大学自动化学院,山东青岛266071

出　　处：《复杂系统与复杂性科学》2025年第1期138-145,共8页Complex Systems and Complexity Science

基　　金：国家自然科学基金(61833001);青岛大学系统+项目(XT2024101)。

摘　　要：针对带有不可测外部扰动的复杂非线性多智能体系统(Multi-agent Systems,MASs)的二分一致控制问题,提出了一种动态事件触发型数据驱动控制方案。利用伪偏导数将带有外部扰动的MASs动力学模型转化为等效的数据模型,并借助径向基函数神经网络对外部扰动的变化量进行估计。基于上述数据模型,利用无模型自适应迭代学习算法并结合动态事件触发策略,提出动态事件触发型无模型迭代二分一致控制方案,并给出了所提控制方案的稳定性分析。仿真结果验证了控制方案的有效性。A data-driven control scheme based on dynamic event triggered strategy is proposed for bipartite consensus control of complex nonlinear MASs with unmeasurable external disturbance.The dynamic model of MASs with external disturbances is transformed into an equivalent data model using pseudo partial derivative,and radial basis function neural network is used to estimate the variation of unmeasured external disturbance.Based on the above data model,utilizing model free adaptive iterative learning algorithm combined with dynamic event triggered strategy,a dynamic event triggered based model-free iterative bipartite consensus control scheme is proposed.Then,the stability analysis of the proposed control scheme is given.The effectiveness of this control scheme is verified by simulation.

关 键 词：多智能体系统 二分一致控制 无模型自适应迭代学习控制 动态事件触发 外部扰动 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程] TP18[自动化与计算机技术—控制科学与工程]