NDLI: Approximation-free design for distributed consensus tracking of networked uncertain non-linear multi-agent systems with heterogenous high powers

Content Provider	IET Digital Library
Author	Yoo, Sung Jin
Abstract	This study investigates a distributed approximation-free design problem for guaranteed consensus tracking quality of networked uncertain heterogenous power-chained multi-agent systems with completely unknown non-linearities. Compared with the existing studies in the presence of power-chained state variables, the main contribution of this study is to provide a distributed low-complexity consensus tracker design strategy using only the relative output information among agents, without the use of adaptive neural or fuzzy function approximators for estimating unknown non-linear functions. A novel recursive design strategy independent of the feedback domination technique is established to deal with power-chained state variables under directed networks. Using the Lyapunov stability theorem, it is shown that the preselected performance of the consensus tracking error is ensured.
Starting Page	1975
Ending Page	1988
Page Count	14
ISSN	17518644
Volume Number	14
e-ISSN	17518652
Issue Number	Issue 14, Sep (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/14/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2019.0374
Journal	IET Control Theory & Applications
Publisher Date	2020-06-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Combinatorial Mathematics Control System Analysis Control System Synthesis Directed Network Distributed Approximation-free Design Problem Distributed Consensus Tracking Distributed Control Feedback Lyapunov Method Lyapunov Stability Theorem Multi-agent System Multivariable Control System Network Theory (Graph) Networked Uncertain Heterogenous Power-chained Multiagent System Networked Uncertain Nonlinear Multiagent System Nonlinear Control System Nonlinear Function Recursive Design Strategy Stability Stability in Control Theory Synthesis Method Uncertain System
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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