Jagtap, P and DImarogonas, DV (2021) Distributed Consensus of Stochastic Multi-agent Systems with Prescribed Performance Constraints. In: 60th IEEE Conference on Decision and Control, CDC 2021, 13-17 Dec 2021, Austin, TX, USA, pp. 1911-1916.
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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. © 2021 IEEE.
Item Type: | Conference Paper |
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Publication: | Proceedings of the IEEE Conference on Decision and Control |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Additional Information: | The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc. |
Keywords: | Differential equations; Distributed parameter control systems; Equations of state; Stochastic control systems; Stochastic systems, Condition; Consensus control; Distributed consensus; Non-stochastic; Performance constraints; Prescribed performance; State-dependent noise; Stochastic differential equations; Stochastic noise; Stochastics, Multi agent systems |
Department/Centre: | Division of Interdisciplinary Sciences > Robert Bosch Centre for Cyber Physical Systems |
Date Deposited: | 16 May 2022 06:26 |
Last Modified: | 16 May 2022 06:26 |
URI: | https://eprints.iisc.ac.in/id/eprint/71668 |
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