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题名

Distributed Robust Containment Control for Multi-Robot Systems via Adaptive Critic Designs

作者
DOI
发表日期
2023
ISBN
979-8-3503-2530-0
会议录名称
页码
1-6
会议日期
21-24 Aug. 2023
会议地点
Shenyang, China
摘要
This article develops a distributed robust containment control approach for multi-robot systems via adaptive critic designs. To begin with, the distributed robust containment control problem of multi-robot systems with modeling uncertainties is transformed into an optimal containment control problem of its nominal plant by designing discounted value functions for all following robots. Hereafter, the distributed optimal containment control law is derived by solving the coupled Hamilton-Jacobi-Bellman equation of each following robot via the critic-only structure. Moreover, theoretical analysis shows that the developed adaptive critic design-based distributed robust containment control scheme guarantees the containment errors of all following robots to be asymptotically stable. Finally, the effectiveness of the present control approach is verified by simulation studies.
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EI入藏号
20235115240017
EI主题词
Adaptive control systems ; Dynamic programming ; Industrial robots ; Machine design ; Robust control ; Uncertainty analysis
EI分类号
Mechanical Design:601 ; Automatic Control Principles and Applications:731 ; Control Systems:731.1 ; Robotics:731.5 ; Robot Applications:731.6 ; Optimization Techniques:921.5 ; Probability Theory:922.1
来源库
IEEE
全文链接https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10327521
引用统计
成果类型会议论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/619983
专题工学院_系统设计与智能制造学院
作者单位
1.School of Automation, Guangdong University of Technology, Guangzhou, China
2.School of Advanced Manufacturing, Guangdong University of Technology, Jieyang, China
3.School of Systems Science, Beijing Normal University, Beijing, China
4.School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China
推荐引用方式
GB/T 7714
Yongwei Zhang,Haowei Lin,Bo Zhao,et al. Distributed Robust Containment Control for Multi-Robot Systems via Adaptive Critic Designs[C],2023:1-6.
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