Title | ||
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A Switching Approach to Designing Finite-Time Synchronization Controllers of Coupled Neural Networks. |
Abstract | ||
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This paper is concerned with the finite-time synchronization issue of nonlinear coupled neural networks by designing a new switching pinning controller. For the fixed network topology and control strength, the newly designed controller could optimize the synchronization time by regulating a parameter α (0 ≤ α <; 1). The control law presented in this paper covers both continuous controllers and dis... |
Year | DOI | Venue |
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2016 | 10.1109/TNNLS.2015.2448549 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Synchronization,Neural networks,Switches,Convergence,Network topology,Couplings | Convergence (routing),Control theory,Synchronization,Control theory,Computer science,Synchronization networks,Network topology,Spanning tree,Strongly connected component,Artificial neural network | Journal |
Volume | Issue | ISSN |
27 | 2 | 2162-237X |
Citations | PageRank | References |
45 | 1.03 | 28 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiaoyang Liu | 1 | 295 | 18.95 |
Housheng Su | 2 | 1360 | 83.94 |
Michael Z. Q. Chen | 3 | 834 | 41.20 |