典型文献
Memory-augmented adaptive flocking control for multi-agent systems subject to uncertain external disturbances
文献摘要：
This paper presents a novel flocking algorithm based on a memory-enhanced disturbance observer.To compensate for external disturbances,a filtered regressor for the double integrator model subject to external disturbances is designed to extract the disturbance information.With the filtered regressor method,the algorithm has the advantage of eliminating the need for acceleration information,thus reducing the sensor requirements in applications.Using the information obtained from the filtered regressor,a batch of stored data is used to design an adaptive disturbance observer,ensuring that the esti-mated values of the parameters of the disturbance system equation and the initial value converge to their actual values.The result is that the flocking algorithm can compensate for external disturbances and drive agents to achieve the desired col-lective behavior,including virtual leader tracking,inter-distance keeping,and collision avoidance.Numerical simulations verify the effectiveness of the algorithm proposed in the present study.
文献关键词：
中图分类号：
作者姓名：
Ximing Wang;Jinsheng Sun;Zhitao Li;Zixing Wu
作者机构：
School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China
文献出处：
引用格式：
[1]Ximing Wang;Jinsheng Sun;Zhitao Li;Zixing Wu-.Memory-augmented adaptive flocking control for multi-agent systems subject to uncertain external disturbances)[J].中国物理B（英文版）,2022(02):210-217
A类：
B类：
Memory,augmented,adaptive,flocking,control,multi,systems,subject,uncertain,external,disturbances,This,paper,presents,novel,algorithm,memory,enhanced,observer,To,compensate,filtered,regressor,double,integrator,model,designed,extract,information,With,method,has,advantage,eliminating,need,acceleration,thus,reducing,sensor,requirements,applications,Using,obtained,from,batch,stored,data,used,ensuring,that,esti,mated,values,parameters,equation,initial,converge,their,actual,result,can,drive,agents,achieve,desired,lective,behavior,including,virtual,leader,tracking,inter,distance,keeping,collision,avoidance,Numerical,simulations,verify,effectiveness,proposed,study
AB值：
0.585236
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