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Biographie et livres de Tingwen Huang

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Tingwen Huang (Fellow, IEEE) received his B.S. degree in Mathematics from Southwest Normal University, China, in 1990, a M.S. degree in Applied Mathematics from Sichuan University, China, in 1993, and a Ph.D. degree in Mathematics from Texas A&M University, College Station, USA, in 2002. He was a Lecturer with Jiangsu University, China, from 1994 to 1998, and a Visiting Assistant Professor with Texas A&M University, USA in 2003. He served as Assistant Professor and Associate Professor at Texas
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Téléchargez le livre :  Dynamical Behaviors of Multiweighted Complex Network Systems
Dynamical Behaviors of Multiweighted Complex Network Systems

Tingwen Huang , Shun-Yan Ren , Jin-Liang Wang , Huai-Ning Wu


Wiley-IEEE Press

2024-11-25

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Highly comprehensive resource for studying neural networks, complex networks, synchronization, passivity, and associated applications Dynamical Behaviors of Multiweighted Complex Network Systems discusses the dynamical behaviors of various...

120,80

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Télécharger le livre :  Cooperative Control of Nonlinear Multiagent Systems
Cooperative Control for Nonlinear Multiagent Systems: Passivity-Based and Non-Passivity-Based Approaches focuses on the cooperative control of nonlinear multiagent systems containing passivity-based or non-passivity-based consensus, lag consensus, and formation control...

Editeur : Academic Press
Parution : 2024-11-05
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158,24

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Télécharger le livre :  Analysis and Control of Output Synchronization for Complex Dynamical Networks
This book introduces recent results on output synchronization of complex dynamical networks with single and multiple weights. It discusses novel research ideas and a number of definitions in complex dynamical networks, such as H-Infinity output synchronization, adaptive...

Editeur : Springer
Parution : 2018-08-14
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137,14

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Télécharger le livre :  Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms
This 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...

Editeur : Springer
Parution : 2017-06-07
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137,14

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