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http://bura.brunel.ac.uk/handle/2438/32040| Title: | Finite-time consensus control for heterogeneous mixed-order nonlinear stochastic multi-agent systems |
| Authors: | Hu, Z Ma, L Wang, B Zou, L Bo, Y |
| Keywords: | finite-time consensus;heterogenous MASs;mixed-order MASs;stochastic nonlinear MASs |
| Issue Date: | 21-Apr-2021 |
| Publisher: | Taylor and Francis |
| Citation: | Hu, Z. et al. (2021) 'Finite-time consensus control for heterogeneous mixed-order nonlinear stochastic multi-agent systems', Systems Science and Control Engineering, 9 (1), pp. 405 - 416. doi: 10.1080/21642583.2021.1914238. |
| Abstract: | This study investigates the finite-time consensus control problem for a class of mixed-order multi-agent systems (MASs) with both stochastic noises and nonlinear dynamics. The sub-systems of the MASs under consideration are heterogenous that are described by a series of differential equations with different orders. The purpose of the addressed problem is to design a control protocol ensuring that the agents' states can achieve the desired consensus in finite time in probability 1. By using the so-called adding a power integrator technique in combination with Lyapunov stability theory, the required distributed consensus control protocol is developed and the corresponding settling time is estimated. Finally, a simulation example is given to demonstrate the correctness and usefulness of the proposed theoretical results. |
| URI: | https://bura.brunel.ac.uk/handle/2438/32040 |
| DOI: | https://doi.org/10.1080/21642583.2021.1914238 |
| Other Identifiers: | ORCiD: Lifeng Ma https://orcid.org/0000-0002-1839-6803 ORCiD: Lei Zou https://orcid.org/0000-0002-0409-7941 |
| Appears in Collections: | Dept of Computer Science Research Papers |
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| FullText.pdf | Copyright © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | 1.71 MB | Adobe PDF | View/Open |
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