NDLI: Robust global consensus tracking of linear multi-agent systems with input saturation via scheduled low-and-high gain feedback

Content Provider	IET Digital Library
Author	Chu, Hongjun Chen, Jianliang Wei, Qinglai Zhang, Weidong
Abstract	This study deals with the protocol design for achieving robust global consensus tracking of multi-agent systems. Agent dynamics are described as general linear systems with actuator saturation and input additive uncertainties and disturbances. Via developing a scheduled low-and-high gain design technique, the state feedback protocol is proposed, under which global consensus tracking and disturbance rejection for such systems can be achieved under the mild assumptions on agent dynamics and network topology. This result is further extended to the case of the reduced-order observer-based protocol design, with the help of the special coordinate basis approach. Finally, the advantages of the proposed protocols are illustrated by a numerical simulation.
Starting Page	69
Ending Page	77
Page Count	9
ISSN	17518644
Volume Number	13
e-ISSN	17518652
Issue Number	Issue 1, Jan (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/13/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2018.5347
Journal	IET Control Theory & Applications
Publisher Date	2018-10-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Actuator Saturation Actuators Agent Dynamics Combinatorial Mathematics Control System Analysis Control System Synthesis Disturbance Rejection Feedback General Linear System Input Additive Uncertainties Input Saturation Linear Multi-agent System Linear System Multi-agent System Multi-robot System Network Topology Observers Reduced Order System Reduced-order Observer-based Protocol Design Robotics Robust Control Robust Global Consensus Tracking Scheduled Low-and-high Gain Feedback Stability in Control Theory State Feedback State Feedback Protocol Synthesis Method Topology
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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