Local time-varying topology identification of network with unknown parameters based on adaptive synchronization
Author:
Affiliation:
1. Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an University of Technology, Xi’an, People’s Republic of China
Funder
Key program of Natural Science Foundation of Shaanxi Province
Publisher
Informa UK Limited
Subject
General Computer Science,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00051144.2018.1552473
Reference30 articles.
1. Finding Robust Adaptation Gene Regulatory Networks Using Multi-Objective Genetic Algorithm
2. Permanent Magnet Synchronous Machine Parameters Identification for Load Characteristics Calculation
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4. Topology identification of weighted complex dynamical networks
5. Parameters and structure identification of complex delayed networks via pinning control
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2. Synchronisation and topology identification of stochastic delayed multi-group models with multi-dispersal and Markovian switching;International Journal of Systems Science;2023-07-19
3. Adaptive Synchronization Control and Parameters Identification for Chaotic Fractional Neural Networks with Time-Varying Delays;Neural Processing Letters;2021-04-28
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