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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… Click to show full abstract
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.
Journal Title: Physica A: Statistical Mechanics and its Applications
Year Published: 2019
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