Adaptive Practical Fast Finite-Time Consensus Protocols for High-Order Nonlinear Multi-Agent Systems With Full State Constraints

This paper mainly addresses the issue of fast finite-time consensus (FTC) algorithms for a group of high-order uncertain nonlinear non-strict-feedback Multi-agent Systems (MASs) with time-varying asymmetric full state constraints. In order to guarantee the state constraints are satisfied, an appropr...

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Main Authors: Lin Shang, Mingjie Cai
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9446089/
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spelling doaj-fdf15a40e5b14a1381bdb0d645a073872021-06-10T23:01:03ZengIEEEIEEE Access2169-35362021-01-019815548156310.1109/ACCESS.2021.30858439446089Adaptive Practical Fast Finite-Time Consensus Protocols for High-Order Nonlinear Multi-Agent Systems With Full State ConstraintsLin Shang0https://orcid.org/0000-0003-0796-733XMingjie Cai1https://orcid.org/0000-0001-8803-8043School of Automation, Qingdao University, Qingdao, ChinaSchool of Automation, Qingdao University, Qingdao, ChinaThis paper mainly addresses the issue of fast finite-time consensus (FTC) algorithms for a group of high-order uncertain nonlinear non-strict-feedback Multi-agent Systems (MASs) with time-varying asymmetric full state constraints. In order to guarantee the state constraints are satisfied, an appropriate asymmetric nonlinear mapping (NM) is employed to transform the original full state constrained system into a corresponding unconstrained one. Combining neural networks technology, graph theory, fast finite-time control theory and backstepping recursive design scheme, the uncertainties and non-strict-feedback form are considered to propose a distributed adaptive FTC protocol which can guarantee tracking error reaching a region in finite time. Finally, an example is given to show that the designed control law can perform effective control.https://ieeexplore.ieee.org/document/9446089/Multi-agent systemsfast finite-time controlnon-strict-feedback structuretime-varying asymmetric state constraints
collection DOAJ
language English
format Article
sources DOAJ
author Lin Shang
Mingjie Cai
spellingShingle Lin Shang
Mingjie Cai
Adaptive Practical Fast Finite-Time Consensus Protocols for High-Order Nonlinear Multi-Agent Systems With Full State Constraints
IEEE Access
Multi-agent systems
fast finite-time control
non-strict-feedback structure
time-varying asymmetric state constraints
author_facet Lin Shang
Mingjie Cai
author_sort Lin Shang
title Adaptive Practical Fast Finite-Time Consensus Protocols for High-Order Nonlinear Multi-Agent Systems With Full State Constraints
title_short Adaptive Practical Fast Finite-Time Consensus Protocols for High-Order Nonlinear Multi-Agent Systems With Full State Constraints
title_full Adaptive Practical Fast Finite-Time Consensus Protocols for High-Order Nonlinear Multi-Agent Systems With Full State Constraints
title_fullStr Adaptive Practical Fast Finite-Time Consensus Protocols for High-Order Nonlinear Multi-Agent Systems With Full State Constraints
title_full_unstemmed Adaptive Practical Fast Finite-Time Consensus Protocols for High-Order Nonlinear Multi-Agent Systems With Full State Constraints
title_sort adaptive practical fast finite-time consensus protocols for high-order nonlinear multi-agent systems with full state constraints
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description This paper mainly addresses the issue of fast finite-time consensus (FTC) algorithms for a group of high-order uncertain nonlinear non-strict-feedback Multi-agent Systems (MASs) with time-varying asymmetric full state constraints. In order to guarantee the state constraints are satisfied, an appropriate asymmetric nonlinear mapping (NM) is employed to transform the original full state constrained system into a corresponding unconstrained one. Combining neural networks technology, graph theory, fast finite-time control theory and backstepping recursive design scheme, the uncertainties and non-strict-feedback form are considered to propose a distributed adaptive FTC protocol which can guarantee tracking error reaching a region in finite time. Finally, an example is given to show that the designed control law can perform effective control.
topic Multi-agent systems
fast finite-time control
non-strict-feedback structure
time-varying asymmetric state constraints
url https://ieeexplore.ieee.org/document/9446089/
work_keys_str_mv AT linshang adaptivepracticalfastfinitetimeconsensusprotocolsforhighordernonlinearmultiagentsystemswithfullstateconstraints
AT mingjiecai adaptivepracticalfastfinitetimeconsensusprotocolsforhighordernonlinearmultiagentsystemswithfullstateconstraints
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