International Journal of Control, Automation, and Systems 2023; 21(9): 2969-2979
https://doi.org/10.1007/s12555-022-0356-5
© The International Journal of Control, Automation, and Systems
This paper is mainly concerned with partial topology identification of stochastic multi-group models with multiple dispersals (SMGMMD) by adaptive pinning control. By using a graph-theoretic approach and adaptive synchronization techniques, some sufficient criteria for partial topology identification of SMGMMD with time delay are obtained. Meanwhile, the partial topological structures of SMGMMD without time delay and the whole topological structures of SMGMMD can also be identified successfully. Finally, coupled Lorenz systems with time delay are identified to demonstrate the feasibility and effectiveness of theoretical results.
Keywords Graph-theoretic approach, multi-group models, partial topology identification, synchronization.
International Journal of Control, Automation, and Systems 2023; 21(9): 2969-2979
Published online September 1, 2023 https://doi.org/10.1007/s12555-022-0356-5
Copyright © The International Journal of Control, Automation, and Systems.
Chunmei Zhang*, Dan Xia, Huiling Chen, and Guiling Chen
Southwest Jiaotong University
This paper is mainly concerned with partial topology identification of stochastic multi-group models with multiple dispersals (SMGMMD) by adaptive pinning control. By using a graph-theoretic approach and adaptive synchronization techniques, some sufficient criteria for partial topology identification of SMGMMD with time delay are obtained. Meanwhile, the partial topological structures of SMGMMD without time delay and the whole topological structures of SMGMMD can also be identified successfully. Finally, coupled Lorenz systems with time delay are identified to demonstrate the feasibility and effectiveness of theoretical results.
Keywords: Graph-theoretic approach, multi-group models, partial topology identification, synchronization.
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