Work

Distributed Consensus of Stochastic Multi-agent Systems with Prescribed Performance Constraints

Year: 2021

Type: conference-paper

Abstract: This paper focuses on the problem of distributed consensus control of multi-agent systems while considering two main practical concerns (i) stochastic noise in the agent dynamics and (ii) predefined performance constraints over evolutions of multi-agent systems. In particular, we consider that each agent is driven by a stochastic differential equation with state-dependent noise which makes the considered problem more challenging compare to non-stochastic agents. The work provides sufficient conditions under which the proposed time-varying distributed control laws ensure consensus in expectation and almost sure consensus of stochastic multi-agent systems while satisfying prescribed performance constraints over evolutions of the systems in the sense of the qth moment. Finally, we demonstrate the effectiveness of the proposed results with a numerical example.

Source: Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes

DOI: 10.1109/cdc45484.2021.9683249

Authors: Pushpak Jagtap, Dimos V. Dimarogonas

Institutions: Robert Bosch (India), Indian Institute of Science Bangalore, KTH Royal Institute of Technology

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Robert Bosch

OpenAlex ID: W4210673166

FWCI: 0.462

Cites: 22

Cited by: 6

Related to: 10