%0 Electronic Article
%A Zhenhua Deng
%+ Key Lab of Systems and Control, Academy of Mathematics and System Science, Chinese Academy of Sciences, Beijing 100190, People's Republic of China
%A Xinghu Wang
%+ Department of Automation, University of Science and Technology of China, Hefei 230027, People's Republic of China
%A Yiguang Hong
%+ Key Lab of Systems and Control, Academy of Mathematics and System Science, Chinese Academy of Sciences, Beijing 100190, People's Republic of China
%K event-triggered communication strategy
%K event-triggered gradient measurement strategy
%K disturbed continuous-time multiagent systems
%K external disturbance rejection
%K distributed optimisation algorithm
%K time-triggered communication
%K discrete-time communication measurement
%K internal model design
%K distributed optimisation design
%X 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.
%@ 1751-8644
%T Distributed optimisation design with triggers for disturbed continuous-time multi-agent systems
%B IET Control Theory & Applications
%D January 2017
%V 11
%N 2
%P 282-290
%I Institution of Engineering and Technology
%U https://digital-library.theiet.org/;jsessionid=erksk073ap9a0.x-iet-live-01content/journals/10.1049/iet-cta.2016.0795
%G EN