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_a10.1007/978-981-10-4907-1 _2doi |
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_aWang, Jin-Liang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _953185 |
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245 | 1 | 0 |
_aAnalysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms _h[electronic resource] / _cby Jin-Liang Wang, Huai-Ning Wu, Tingwen Huang, Shun-Yan Ren. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2018. |
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300 |
_aXIII, 220 p. 43 illus., 41 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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505 | 0 | _aIntroduction -- Pinning control strategies for synchronization of Coupled Reaction-Diffusion Neural Networks -- Pinning control for synchronization of Coupled Reaction-Diffusion Neural Networks with directed topologies -- Impulsive control for the synchronization of Coupled Reaction-Diffusion Neural Networks -- Novel adaptive strategies for synchronization of Coupled Reaction-Diffusion Neural Networks -- Synchronization and adaptive control of Coupled Reaction-Diffusion Neural Networks with hybrid coupling -- Passivity-based synchronization of Coupled Reaction-Diffusion Neural Networks with time-varying delay -- Passivity and synchronization of Coupled Reaction-Diffusion Neural Networks with adaptive coupling -- Passivity analysis of Coupled Reaction-Diffusion Neural Networks with Dirichlet boundary conditions -- Passivity of directed and undirected Coupled Reaction-Diffusion Neural Networks with adaptive coupling weights. | |
520 | _aThis book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural networks. It presents novel research ideas and essential definitions concerning coupled reaction-diffusion neural networks, such as passivity, adaptive coupling, spatial diffusion coupling, and the relationship between synchronization and output strict passivity. Further, it gathers research results previously published in many flagship journals, presenting them in a unified form. As such, the book will be of interest to all university researchers and graduate students in Engineering and Mathematics who wish to study the dynamical behaviors of coupled reaction-diffusion neural networks. | ||
650 | 0 |
_aControl engineering. _931970 |
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650 | 0 |
_aNeural networks (Computer science) . _953186 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aSystem theory. _93409 |
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650 | 1 | 4 |
_aControl and Systems Theory. _931972 |
650 | 2 | 4 |
_aMathematical Models of Cognitive Processes and Neural Networks. _932913 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aComplex Systems. _918136 |
700 | 1 |
_aWu, Huai-Ning. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _953187 |
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700 | 1 |
_aHuang, Tingwen. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _953188 |
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700 | 1 |
_aRen, Shun-Yan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _953189 |
|
710 | 2 |
_aSpringerLink (Online service) _953190 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811049064 |
776 | 0 | 8 |
_iPrinted edition: _z9789811049088 |
776 | 0 | 8 |
_iPrinted edition: _z9789811352621 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-10-4907-1 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
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