NDLI: Neural-network-based adaptive leader-following consensus control for second-order non-linear multi-agent systems

Content Provider	IET Digital Library
Author	Wen, Guo Xing Chen, C. L. Philip Liu, Yan Jun Liu, Zhi
Abstract	In this study, a novel adaptive neural network (NN)-based leader-following consensus approach is proposed for a class of non-linear second-order multi-agent systems. For the existing NN consensus approaches, to obtain the desired approximation accuracy, the NN-based adaptive consensus algorithms require the number of NN nodes to must be large enough, and thus the online computation burden often are very heavy. However, the proposed adaptive consensus scheme can greatly reduce the online computation burden, because the adaptive adjusting parameters are designed in scalar form, which is the norm of the estimation of the optimal NN weight matrix. According to Lyapunov stability theory, the proposed approach can guarantee the leader-following consensus behaviour of non-linear second-order multi-agent systems to be obtained. Finally, a numerical simulation and a multi-manipulator simulation are carried out to further demonstrate the effectiveness of the proposed consensus approach.
Starting Page	1927
Ending Page	1934
Page Count	8
ISSN	17518644
Volume Number	9
e-ISSN	17518652
Issue Number	Issue 13, Aug (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/9/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2014.1319
Journal	IET Control Theory & Applications
Publisher Date	2015-06-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Control Adaptive Leader Following Consensus Control Artificial Intelligence Leader Following Consensus Approach Linear Algebra Lyapunov Method Lyapunov Stability Theorem Matrix Algebra Multi-agent System Multimanipulator Simulation Neural Network Neurocontrol Neurocontrollers NN Based Adaptive Consensus Algorithm NN Node Nonlinear Control System Numerical Analysis Numerical Method Numerical Simulation Online Computation Optimal NN Weight Matrix Second Order Nonlinear Multiagent System Self Adjusting Control System Stability in Control Theory
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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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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