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vian switching and the Markov chain theory, we have established the necessary and sufficient conditions for
achieving the cooperatability in the leader-following multi-agent systems. Furthermore, there are several other
interesting topics that can be explored in future research. For instance, it would be valuable to investigate the
cooperatability of the leader-following multi-agent systems with both multiplicative noises and delays under
Markov switching topologies
DECLARATIONS
Authors’ contributions
Made substantial contributions to the research and investigation process, reviewed and summarized the liter-
ature, and wrote and edited the original draft: Li D
Performed oversight and leadership responsibility for the research activity planning and execution and per-
formed critical review, commentary, and revision: Li T
Availability of data and materials
Not applicable.
Financial support and sponsorship
Not applicable.
Conflicts of interest
All authors declared that there are no conflicts of interest.
Ethical approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Copyright
© The Author(s) 2023.
REFERENCES
1. Mao J, Huang S, Xiang Z, Wang Y, Zheng D. Practical finite‐time sampled‐data output consensus for a class of nonlinear multiagent
systems via output feedback. Int J Robust Nonlinear Control 2021;31:920-49. DOI
2. Mao J, Yan T, Huang S, Li S, Jiao J. Sampled‐data output feedback leader‐following consensus for a class of nonlinear multi‐agent
systems with input unmodeled dynamics. Int J Robust Nonlinear Control 2021;31:4203-26. DOI
3. Shang Y, Ye Y. Leader-follower fixed-time group consensus control of multiagent systems under directed topology. Complexity
2017;2017:1-9. DOI
4. Mariton M. Almost sure and moments stability of jump linear systems. Syst Control Lett 1988;11:393-7. DOI
5. Feng X, Loparo K, Ji Y, Chizeck H. Stochastic stability properties of jump linear systems. IEEE Trans Automat Contr 1992;37:38-53.
DOI
6. Fang Y, Loparo K. Stabilization of continuous-time jump linear systems. IEEE Trans Automat Contr 2002;47:1590-603. DOI
7. El Ghaoui L, Rami MA. Robust state feedback stabilization of jump linear systems via LMIs. Int J Robust Nonlin Contr 1996;6:1015-22.
DOI
8. Costa OLV, Boukas EK. Necessary and sufficient condition for robust stability and stabilizability of continuous-time linear systems with
markovian jumps. J Optim Theory Appl 1998;99:359-79. DOI
9. Somarakis C, Motee N. Aggregate fluctuations in networks with drift-diffusion models driven by stable non-gaussian disturbances. IEEE
Trans Control Netw Syst 2020;7:1248-58. DOI
10. Fragoso MD, Costa OL. A unified approach for mean square stability of continuous-time markovian jumping linear systems with additive
disturbances. In: Proceedings of the 39th IEEE Conference on Decision and Control, Sydney, Australia, 12−15 December, 2000, pp.
2361−2366. DOI
11. Dragan V, Morozan T, Stoica AM. Mathematical methods in robust control of linear stochastic systems. 2006, New York, USA: Springer.