Abstract
The problem of distributed event-triggered mean square consensus for networked Lagrangian systems with communication delays and semi-Markov switching topologies is considered in this brief. By considering event-triggered sampling control with stochastic disturbances, the distributed stochastic consensus protocol is proposed. Furthermore, by using stochastic analysis theory, with a combination of both algebraic graph tools and linear matrices inequalities (LMIs), a general delay-dependent criterion is presented for solving stochastic consensus problems in terms of mean square under the semi-Markov switching network topology structure with communication delays. Meanwhile, Zeno behavior of the triggering time sequences is also avoided. Subsequently, a typical example of four manipulators with two links is provided to demonstrate the developed consensus methodology in this brief.
National Science Foundation of China (Nos. 51875331 and 11672169).
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Pan, S., Ye, Z., Xiang, L., Zhou, J. (2021). Event-Triggered Stochastic Consensus for Networked Lagrangian Systems. In: Jia, Y., Zhang, W., Fu, Y. (eds) Proceedings of 2020 Chinese Intelligent Systems Conference. CISC 2020. Lecture Notes in Electrical Engineering, vol 706. Springer, Singapore. https://doi.org/10.1007/978-981-15-8458-9_17
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DOI: https://doi.org/10.1007/978-981-15-8458-9_17
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