Event- and self-triggered consensus for double-integrator networks with relative state measurements

ABSTRACT

This paper addresses the consensus problem of double-integrator networks via event- and self-triggered control approaches. In the proposed control protocol, only relative state information is utilised to synchronise all agents. First, an event-triggering algorithm with periodic event detection is designed to determine the event times of each agent. Then, a self-triggered control algorithm is provided to further reduce resource consumption. Two numerical simulations are conducted to illustrate the effectiveness of the results.

Keywords:

• Multi-agent systems
• sampled-data control
• relative states
• event-triggered control

Disclosure statement

No potential conflict of interest was reported by the authors.

ORCID

Ming-Zhe Dai  http://orcid.org/0000-0002-3399-916X

Feng Xiao   http://orcid.org/0000-0002-8890-4383

Additional information

Funding

This work was supported by National Natural Science Foundation of China – NSFC [61422302].