Structure identification of unknown complex-variable dynamical networks with complex coupling

Jiaye Yan, Jiaying Zhou and Zhaoyan Wu

Physica A: Statistical Mechanics and its Applications, 2019, vol. 525, issue C, 256-265

Abstract: Topology structure and system parameters play a key role in evolving behavior of dynamical networks. Due to the complexity of dynamical networks, topology structure and system parameters are sometimes unknown or uncertain in advance. Therefore, structure identification is a necessary and critical issue. In this paper, we consider the structure identification of unknown complex-variable dynamical networks with complex coupling. Further, we design corresponding network estimators using the adaptive control scheme. Finally, we derive two results based on the Barbalat’s lemma and illustrate them by two numerical examples.

Keywords: Structure identification; Complex-variable network; Complex coupling (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:525:y:2019:i:c:p:256-265

DOI: 10.1016/j.physa.2019.03.064

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