详细信息
Observer-Based Adaptive Prescribed- Time H∞ Coordinated Control for Multiple Robot Manipulators With Prescribed Performance and Input Quantization ( SCI-EXPANDED收录 EI收录) 被引量:1
文献类型:期刊文献
英文题名:Observer-Based Adaptive Prescribed- Time H∞ Coordinated Control for Multiple Robot Manipulators With Prescribed Performance and Input Quantization
作者:Li, Weichen[1];Liu, Haitao[1,2,3];Tian, Xuehong[1,2]
机构:[1]Guangdong Ocean Univ, Sch Mech Engn, Zhanjiang 524088, Peoples R China;[2]Guangdong Ocean Univ, Shenzhen Inst, Shenzhen 518120, Peoples R China;[3]Guangdong Engn Technol Res Ctr Ocean Equipment & M, Zhanjiang 524088, Peoples R China
年份:2024
卷号:12
起止页码:25820
外文期刊名:IEEE ACCESS
收录:SCI-EXPANDED(收录号:WOS:001173227300001)、、EI(收录号:20240815579922)、Scopus(收录号:2-s2.0-85186166143)、WOS
基金:No Statement Available
语种:英文
外文关键词:Prescribed-time H-infinity control; novel prescribed performance; asymmetric log-type barrier Lyapunov function; prescribed-time leader state estimation observer; prescribed-time adaptive command filter; multiple robot manipulators
外文摘要:In this paper, a prescribed-time adaptive H-infinity cooperative strategy with novel prescribed performance and input quantization based on a leader state observer is proposed for uncertain multiple robot manipulators. First, a novel prescribed performance function is introduced into the asymmetric log-type barrier Lyapunov function, which can limit angle errors and reduce the loss of communication resources among multiple robot manipulators. Second, a new prescribed-time leader state estimation observer is proposed to estimate the leader's state information and pass it to the other followers without acceleration information. Third, a prescribed-time adaptive command filter is designed to solve the "explosion of the complexity" problem and improves the convergence performance of the control system. Fourth, an adaptive prescribed-time H-infinity cooperative controller with novel prescribed performance and input quantization is designed. Finally, simulation examples are presented to evaluate the stability of the proposed control system.
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