Analysis And Control Of Coupled Neural Networks With Reaction Diffusion Terms

Download Analysis And Control Of Coupled Neural Networks With Reaction Diffusion Terms full books in PDF, epub, and Kindle. Read online free Analysis And Control Of Coupled Neural Networks With Reaction Diffusion Terms ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!


Related Books

Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms
Language: en
Pages: 227
Authors: Jin-Liang Wang
Categories: Technology & Engineering
Type: BOOK - Published: 2017-06-07 - Publisher: Springer

DOWNLOAD EBOOK

This book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural networks. It presents nov
Passivity of Complex Dynamical Networks
Language: en
Pages: 253
Authors: Jin-Liang Wang
Categories: Technology & Engineering
Type: BOOK - Published: 2020-12-12 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book intends to introduce some recent results on passivity of complex dynamical networks with single weight and multiple weights. The book collects novel r
Analysis and Control for Fractional-order Systems
Language: en
Pages: 236
Authors: Yonggui Kao
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Qualitative Analysis and Control of Complex Neural Networks with Delays
Language: en
Pages: 398
Authors: Zhanshan Wang
Categories: Technology & Engineering
Type: BOOK - Published: 2015-07-18 - Publisher: Springer

DOWNLOAD EBOOK

This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control an
Analysis and Control of Output Synchronization for Complex Dynamical Networks
Language: en
Pages: 225
Authors: Jin-Liang Wang
Categories: Technology & Engineering
Type: BOOK - Published: 2018-08-14 - Publisher: Springer

DOWNLOAD EBOOK

This book introduces recent results on output synchronization of complex dynamical networks with single and multiple weights. It discusses novel research ideas