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Adaptive Neural Tracking Control of a Class of Hyperbolic PDE With Uncertain Actuator Dynamics

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成果类型:
期刊论文
作者:
Xiao, Yu;Yuan, Yuan;Yang, Chunhua;Luo, Biao;Xu, Xiaodong;...
作者机构:
[Xiao, Yu; Yang, Chunhua; Luo, Biao; Xu, Xiaodong] Cent South Univ, Sch Automat, Changsha 410083, Peoples R China.
[Yuan, Yuan] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha 410205, Peoples R China.
[Yuan, Yuan; Dubljevic, Stevan; Xu, Xiaodong] Univ Alberta, Dept Chem & Mat Engn, Edmonton, AB T6G 1K7, Canada.
语种:
英文
关键词:
Actuator dynamics;adaptive tracking control;hyperbolic PDE;neural networks (NNs);unknown nonlinearities
期刊:
IEEE Transactions on Cybernetics
ISSN:
2168-2267
年:
2024
卷:
54
期:
2
页码:
693-705
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62022094 and 62103445) 10.13039/501100004735-Hunan Provincial Natural Science Foundation of China (Grant Number: 2020JJ2049 and 2022JJ20082)
机构署名:
本校为其他机构
院系归属:
电气与信息工程学院
摘要:
This article investigates the adaptive neural tracking control problem for a class of hyperbolic PDE with boundary actuator dynamics described by a set of nonlinear ordinary differential equations (ODEs). Particularly, the control input appears in the ODE subsystem with unknown nonlinearities requiring to be estimated and compensated, which makes the control task rather difficult. It is the first time to consider tracking control of such a class of systems, rendering our contributions essentially different from the existing literature that merely focus on the stabilization problem. By formulat...

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