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Synchronization of Complex Dynamical Networks with Actuator Saturation by Using Sampled-Data Control

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Abstract

This paper deals with the synchronization problem of complex dynamical networks with actuator saturation by using sampled-data control. A novel Lyapunov function taking full advantage of the information on sampling pattern is constructed for complex dynamical networks. Then, combined with free-weighting matrix approach and linear matrix inequality technique, a stability criterion is derived to guarantee the synchronization of complex dynamical networks. It is proved that the synchronization of complex dynamical networks can be achieved under some suitable conditions. In the end, the validity of the designed approach is illustrated via a numerical simulation.

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Acknowledgements

This work was partially supported by National Key R&D Program of China (2018YFB1700400), the Innovative Int J Adv Manuf Technol Research Team Program of Guangdong Province Science Foundation (2018B030312006), the Fundamental Research Funds for the Central Universities (2017FZA5010) and the Science and Technology Planning Project of Guangdong Province (2017B010116006).

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Correspondence to Hao Wu.

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Guan, Y., Wu, Y., Wu, H. et al. Synchronization of Complex Dynamical Networks with Actuator Saturation by Using Sampled-Data Control. Circuits Syst Signal Process 38, 5508–5527 (2019). https://doi.org/10.1007/s00034-019-01154-6

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