NDLI: Consensus tracking control via iterative learning for singular multi-agent systems

Content Provider	IET Digital Library
Author	Gu, Panpan Tian, Senping
Abstract	This study considers the consensus tracking problem of singular multi-agent systems by using an iterative learning control approach. Here, the communication among the followers is described by a directed graph, and only a portion of the followers can receive the leader's information. For such singular multi-agent systems, a unified iterative learning algorithm is proposed in both continuous-time domain and discrete-time domain. Furthermore, the convergence condition of the algorithm is presented and analysed. In this study, the main contribution is to extend the iterative learning control theory from multi-agent systems to singular multi-agent systems. It is shown that the algorithm can guarantee the outputs of the followers converge to the leader's trajectory on a finite time interval along the iteration axis. Finally, the provided examples illustrate the effectiveness of the theoretical results.
Starting Page	1603
Ending Page	1611
Page Count	9
ISSN	17518644
Volume Number	13
e-ISSN	17518652
Issue Number	Issue 11, Jul (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/13/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2018.5901
Journal	IET Control Theory & Applications
Publisher Date	2019-03-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Control Algebra Combinatorial Mathematics Consensus Tracking Control Consensus Tracking Problem Continuous-time Domain Control System Analysis Control System Synthesis Directed Graph Discrete Control System Discrete Time System Discrete-time Domain Followers Interpolation And Function Approximation Iterative Learning Control Approach Iterative Method Learning System Multi-agent System Multi-robot System Numerical Analysis Self Adjusting Control System Singular Multiagent System Synthesis Method Time Varying System Unified Iterative Learning Algorithm
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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