Identifying Partial Topological Structures of Stochastic Multi-Group Models with Multiple Dispersals via Graph-Theoretic Method
Chunmei Zhang, Dan Xia, Huiling Chen, Hui Yang, Ran Li, Nallappan Gunasekaran
Abstract
In this paper, the partial topology identification of stochastic multi-group models with multiple dispersals is investigated. Based on adaptive pinning control and a graph-theoretic method, some sufficient criteria about partial topology identification of stochastic multi-group models with multiple dispersals are obtained. That is to say, the unknown partial topological structures can be identified successfully. In the end, numerical examples are provided to verify the effectiveness of theoretical results.
Topics & Concepts
Topology (electrical circuits)GraphIdentification (biology)Group (periodic table)MathematicsGraph theoryComputer scienceTheoretical computer scienceCombinatoricsPhysicsBiologyQuantum mechanicsBotanyDiffusion and Search DynamicsNonlinear Dynamics and Pattern FormationGene Regulatory Network Analysis