Contraction analysis of synchronization of complex switched networks with different inner coupling matrices

Synchronization of Coupled Switched Neural Networks with Time-Varying Delays

“…This is different from most existing results of switched networks [5,14,16,17,[22][23][24][25][26][27]. For example, in [14,17,24,26,27], the topology switching was considered and the node switching was neglected, and in [21],only the node switching was investigated. In [5,16,22,23,25], although both the individual node and the network topology switching were considered, it was still assumed that the node switching and the topology switching are same to each other.…”

“…It should be pointed out that the individual node and network topology switching are same to each other in [27]. Hence Theorem 1 has a wider application than the results in [27].…”

“…Remark 2 When σ 1 (t) = σ 2 (t), Theorem 1 reduces to the model in [27]. It should be pointed out that the individual node and network topology switching are same to each other in [27].…”

“…then the coupled neural network in (27) can reach globally exponential synchronization for any switching signals σ 2 satisfying…”

“…The authors of [21] only considered the node switching, and the topology switching was neglected. In [14,17,24,26,27], the node switching was neglected. In [5,16,22,23,25], although both the individual node and network topology switching were considered, it was assumed that the node switching and the topology switching are same to each other.…”