Neural Network-Based Distributed Finite-Time Tracking Control of Uncertain Multi-Agent Systems With Full State Constraints

This paper addresses the distributed tracking control problem of pure-feedback multi-agent systems with full state constraints under a directed graph in finite time. By introducing the nonlinear mapping technique, the system with full state constraints is converted into the form without state constr...

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Autores principales:	Qiutong Ji, Gang Chen, Qiurui He
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2020
Materias:	Multi-agent systems finite-time tracking control full state constraints pure-feedback form Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/b76f58db02eb4837a816b8a1837f91b8
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spelling	oai:doaj.org-article:b76f58db02eb4837a816b8a1837f91b82021-11-19T00:06:39ZNeural Network-Based Distributed Finite-Time Tracking Control of Uncertain Multi-Agent Systems With Full State Constraints2169-353610.1109/ACCESS.2020.3025966https://doaj.org/article/b76f58db02eb4837a816b8a1837f91b82020-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9203796/https://doaj.org/toc/2169-3536This paper addresses the distributed tracking control problem of pure-feedback multi-agent systems with full state constraints under a directed graph in finite time. By introducing the nonlinear mapping technique, the system with full state constraints is converted into the form without state constraints. Furthermore, by combining fractional dynamic surface and radial basis function neural networks, a novel finite-time adaptive tracking controller is conducted recursively. In light of Lyapunov stability theory, it is proven that all signals of multi-agent systems are semi-globally uniformly ultimately bounded in finite time and the full states satisfy the constraints. Lastly, numerical simulations are supplied to demonstrate the effectiveness of the proposed control strategy.Qiutong JiGang ChenQiurui HeIEEEarticleMulti-agent systemsfinite-time tracking controlfull state constraintspure-feedback formElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 8, Pp 174365-174374 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Multi-agent systems finite-time tracking control full state constraints pure-feedback form Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Multi-agent systems finite-time tracking control full state constraints pure-feedback form Electrical engineering. Electronics. Nuclear engineering TK1-9971 Qiutong Ji Gang Chen Qiurui He Neural Network-Based Distributed Finite-Time Tracking Control of Uncertain Multi-Agent Systems With Full State Constraints
description	This paper addresses the distributed tracking control problem of pure-feedback multi-agent systems with full state constraints under a directed graph in finite time. By introducing the nonlinear mapping technique, the system with full state constraints is converted into the form without state constraints. Furthermore, by combining fractional dynamic surface and radial basis function neural networks, a novel finite-time adaptive tracking controller is conducted recursively. In light of Lyapunov stability theory, it is proven that all signals of multi-agent systems are semi-globally uniformly ultimately bounded in finite time and the full states satisfy the constraints. Lastly, numerical simulations are supplied to demonstrate the effectiveness of the proposed control strategy.
format	article
author	Qiutong Ji Gang Chen Qiurui He
author_facet	Qiutong Ji Gang Chen Qiurui He
author_sort	Qiutong Ji
title	Neural Network-Based Distributed Finite-Time Tracking Control of Uncertain Multi-Agent Systems With Full State Constraints
title_short	Neural Network-Based Distributed Finite-Time Tracking Control of Uncertain Multi-Agent Systems With Full State Constraints
title_full	Neural Network-Based Distributed Finite-Time Tracking Control of Uncertain Multi-Agent Systems With Full State Constraints
title_fullStr	Neural Network-Based Distributed Finite-Time Tracking Control of Uncertain Multi-Agent Systems With Full State Constraints
title_full_unstemmed	Neural Network-Based Distributed Finite-Time Tracking Control of Uncertain Multi-Agent Systems With Full State Constraints
title_sort	neural network-based distributed finite-time tracking control of uncertain multi-agent systems with full state constraints
publisher	IEEE
publishDate	2020
url	https://doaj.org/article/b76f58db02eb4837a816b8a1837f91b8
work_keys_str_mv	AT qiutongji neuralnetworkbaseddistributedfinitetimetrackingcontrolofuncertainmultiagentsystemswithfullstateconstraints AT gangchen neuralnetworkbaseddistributedfinitetimetrackingcontrolofuncertainmultiagentsystemswithfullstateconstraints AT qiuruihe neuralnetworkbaseddistributedfinitetimetrackingcontrolofuncertainmultiagentsystemswithfullstateconstraints
_version_	1718420630637903872

Neural Network-Based Distributed Finite-Time Tracking Control of Uncertain Multi-Agent Systems With Full State Constraints

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