NDLI: Distributed optimisation design with triggers for disturbed continuous-time multi-agent systems

Content Provider	IET Digital Library
Author	Deng, Zhenhua Wang, Xinghu Hong, Yiguang
Abstract	A distributed optimisation problem is investigated for disturbed continuous-time multi-agent systems with discrete-time communication and gradient measurement. First, a distributed optimisation algorithm with time-triggered communication and gradient measurement is proposed. Then an event-triggered communication strategy and an event-triggered gradient measurement strategy are developed, and a distributed optimisation algorithm combining these two event-triggered strategies is designed, in which the two event-triggered strategies are free of Zeno behaviour. Moreover, the exponential convergence of system can be guaranteed by using the internal model design to reject the external disturbance. Finally, an example illustrates the effectiveness of the proposed algorithms.
Starting Page	282
Ending Page	290
Page Count	9
ISSN	17518644
Volume Number	11
e-ISSN	17518652
Issue Number	Issue 2, Jan (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/11/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2016.0795
Journal	IET Control Theory & Applications
Publisher Date	2016-10-31
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Continuous Time System Decentralised Control Discrete Control System Discrete Time System Discrete-time Communication Measurement Distributed Optimisation Algorithm Distributed Optimisation Design Disturbed Continuous-time Multiagent System Event-triggered Communication Strategy Event-triggered Gradient Measurement Strategy External Disturbance Rejection Gradient Method Internal Model Design Multi-agent System Multivariable Control System Optimisation Optimisation Technique Time-triggered Communication
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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