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2019 | 26 | 1 |
Tytuł artykułu

Consensus for multiple unmanned surface vehicle (MUSV) systems with Markov switching topologies

Autorzy
Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper is concerned with sampled-data leader following consensus of multiple unmanned surface vehicle (MUSV) systems with random switching network topologies and wave-induced disturbance. By modelling the switching of network topologies with the use of a Markov process and considering the effect of wave-induced disturbance, a new sampled-data consensus control protocol is proposed. By employing an appropriate Lyapunov-Krosovskii function method and the weak infinitesimal operation, a novel stability criterion is derived, which ensures that the MUSV system can reach robustly leader-following consensus with H∞ performance satisfied. Based on this criterion, the Markov dependent switching consensus controller gains are obtained by solving a set of linear matrix inequalities. Finally, an illustrative example is given to verify the effectiveness of the proposed control scheme for MUSV systems
Słowa kluczowe
Wydawca
-
Rocznik
Tom
26
Numer
1
Opis fizyczny
p.145-152,fig.,ref.
Twórcy
autor
  • Key Laboratory of Intelligent Perception and Advanced Control State Ethnic Affairs Commission, Dalian, China
  • Dalian Minzu University, Liaohe West Road, Jinzhou New District, 116600 Dalian, China
autor
  • College of Mechanical and Electronic Engineering, Dalian Maritime University, Ganjingzi Street, 116026 Dalian, China
autor
  • Key Laboratory of Intelligent Perception and Advanced Control State Ethnic Affairs Commission, Dalian, China
  • Dalian Minzu University, Liaohe West Road, Jinzhou New District, 116600 Dalian, China
Bibliografia
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  • 3. Yu X, Liu L, Feng G. Leader-following consensus of multiple unmanned aerial vehicles with input constraints and local coordinate frames. 2016 IEEE International Conference on Advanced Intelligent Mechatronics, 2016, pp. 51061–1066.
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  • 5. Liu Z. Q., Wang Y. L., Wang T. B.: Incremental predictive control-based output consensus of networked unmanned surface vehicle formation systems. Information Science, 2018, 457–458: pp. 166–181.
  • 6. Yi J. W., Wang Y. W., Xiao J. W.: Consensus in Markovian jump second-order multi-agent systems with random communication delay. IET Control Theory and Application, 2014, 8(16): pp. 1666–1675.
  • 7. Ding L., Guo G.: Sampled-data leader-following consensus for nonlinear multi-agent systems with Markovian switching topologies and communication delay. Journal of the Franklin Institute, 2015, 352: pp. 369–383.
  • 8. Kaviarasan B., Sakthivel Chao Wang C., Alzahrani F.: Resilient control design for consensus of nonlinear multi-agent systems with switching topology and randomly varying communication delays. Neurocomputing, 2018, 311: pp. 155–163.
  • 9. Li C. J., Liu G. P.: Consensus for heterogeneous networked multi-agent systems with switching topology and time-varying delays. Journal of the Franklin Institute, 2018, 355: pp.4198–4217.
  • 10. Dai J. T., Guo G.: Event-triggered leader-following consensus for multi-agent systems with semi-Markov switching topologies. Information Sciences, 2018, 459: pp. 290–301
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  • 16. Peng C., Zhang J., Han Q. –L.: Consensus of multi-agent systems with nonlinear dynamics using an integrated sampled-data-based event-triggered communication scheme. IEEE Transactions on Systems, Man, And Cybernetics systems, 2018, (online).
  • 17. Zhenman G., Yong H., Min, W.: New constructing method of Lyapunov-Krasovskii functionals for stability of time-varying delay systems. IECON 2017 – 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017, pp. 5639–5643.
  • 18. Fossen T. I.: Guidance and Control of Ocean Vehicles. Hoboken, NJ, USA: Wiley, 1994
Typ dokumentu
Bibliografia
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Identyfikator YADDA
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