NDLI: Distributed consensus tracking control of second-order non-linear multi-agent systems with unmodelled dynamics

Content Provider	IET Digital Library
Author	Yu, Yajing Zou, Wencheng Guo, Jian Xiang, Zhengrong
Abstract	In this study, the consensus tracking control problem is considered for a class of second-order non-linear multi-agent systems with unmodelled dynamics. Radial basis function neural networks are introduced to approximate the unknown non-linearities and a dynamic signal is utilised to deal with the unmodelled dynamics. Meanwhile, appropriate Lyapunov functions are constructed and a new distributed adaptive control protocol is designed to guarantee that all the tracking error signals in the considered multi-agent systems are ultimately bounded, under which the distributed tracking consensus is reached for all undirected connected communication graphs. Finally, two demonstrative examples are given to illustrate the validity of the designed protocols.
Starting Page	2573
Ending Page	2581
Page Count	9
ISSN	17518644
Volume Number	14
e-ISSN	17518652
Issue Number	Issue 17, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/14/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2020.0438
Journal	IET Control Theory & Applications
Publisher Date	2020-09-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Control Combinatorial Mathematics Control System Analysis Control System Synthesis Distributed Adaptive Control Protocol Distributed Consensus Tracking Control Distributed Control Dynamic Signal Graph Theory Interpolation And Function Approximation Lyapunov Method Multi-agent System Multivariable Control System Neurocontrol Neurocontrollers Nonlinear Control System Nonlinearities Numerical Analysis Radial Basis Function Network Radial Basis Function Neural Network Second-order Nonlinear Multiagent System Self Adjusting Control System Stability in Control Theory Synthesis Method Tracking Tracking Error Signal Unmodelled Dynamics
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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