Cluster Consensus Based on Impulsive Control in Nonlinear Multi-agent System with Switching Topology
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-3998-3_38
Reference19 articles.
1. Liu, X.Z., Zhang, K.X., Xie, W.C.: Consensus seeking in multi-agent systems via hybrid protocols with impulse delays. Nonl. Anal. Hybrid Syst. 25, 90–98 (2017). https://doi.org/10.1016/j.nahs.2017.03.002
2. Ma, T.D., Li, T., Cui, B.: Adaptive impulsive consensus of multi-agent systems. Int. J. Robust Nonl. Control 28, 2031–2046 (2018). https://doi.org/10.1002/rnc.3998
3. Liu, Z.W., Wen, G.H., Yu, X.H., Guan, Z.H., Huang, T.W.: Delayed impulsive control for consensus of multiagent systems with switching communication graphs. IEEE Trans. Cybern. 50, 3045–3055 (2020). https://doi.org/10.1109/TCYB.2019.2926115
4. Xiao, J., Guo, X.X., Feng, Y.B., Bao, H.B., Wu, N.: Leader-following consensus of stochastic perturbed multi-agent systems via variable impulsive control and comparison system method. IEEE Access 8, 113183–113191 (2020). https://doi.org/10.1109/ACCESS.2020.3001011
5. Du, Y.X., Wang, Y.Z., Zhao, G.D.: Weighted group-consensus analysis of multi-agent systems on a directed bipartite graph. In: 2015 34th Chinese Control Conference (CCC), pp. 6900–6905. Hangzhou (2015). https://doi.org/10.1109/ChiCC.2015.7260730
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