报告摘要：
| Network topology plays a crucial role in determining a network’s intrinsic dynamics and function, thus understanding and modeling the topology of a complex network will lead to greater knowledge of its evolutionary mechanisms and to a better understanding of its behaviors. In the past few years, topology identification of complex networks has received increasing interest and wide attention. In this presentation, I will report works of my group on topology identification of complex dynamical networks, including adaptive control based identification, optimization-based algorithms, and Granger causality test
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