Exponential Synchronization of Complex Dynamical Networks via a Novel Sampled-Data Control

Complexity 2022:1-9 (2022)
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Abstract

This paper investigates the exponential synchronization of complex dynamical networks based on the sampled-data control method. The sampled-data control means that the control input remains unchanged for a long time after each sampling, which can reduce the sampling number. By using the stability theory of the dynamical systems, this paper provides a novel sampling controller and estimates the bound of the sampling interval. Finally, a numerical example is given to demonstrate the effectiveness of the proposed design technique.

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H. C. B. Liu
University of California, Berkeley

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