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This book intends to introduce some recent results on passivity of
complex dynamical networks with single weight and multiple weights.
The book collects novel research ideas and some definitions in
complex dynamical networks, such as passivity, output strict
passivity, input strict passivity, finite-time passivity, and
multiple weights. Furthermore, the research results previously
published in many flagship journals are methodically edited and
presented in a unified form. The book is likely to be of interest
to university researchers and graduate students in Engineering and
Mathematics who wish to study the passivity of 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 coupling weights, multiple weights, the
relationship between output strict passivity and output
synchronization. Furthermore, it methodically edits the research
results previously published in various flagship journals and
presents them in a unified form. The book is of interest to
university researchers and graduate students in engineering and
mathematics who wish to study output synchronization of complex
dynamical networks.
Methane Emissions from Unique Wetlands in China: Case Studies, Meta
Analyses and Modelling is a landmark volume in the development of
studies about methane emission from wetlands. Although there are
books about methane emissions from rice paddies, natural wetlands
and reservoirs, this book is the first one that provides
information about methane emission from wetlands in China.
Moreover, the book picks up very unique wetlands, alpine wetlands
on the eastern edge of the Qinghai-Tibetan Plateau, and Three
Gorges Reservoir (the world's largest hydroelectric reservoir) as
cases to study methane emissions. It reviews and meta-analyses
methane emissions from rice paddies, natural wetlands and lakes in
China during the past twenty years. Furthermore, this book acts as
bridge to connect microbial ecology and modelling: it both
describes methane-producing bacteria dynamics and methane emission
modelling.
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 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.
This book intends to introduce some recent results on passivity of
complex dynamical networks with single weight and multiple weights.
The book collects novel research ideas and some definitions in
complex dynamical networks, such as passivity, output strict
passivity, input strict passivity, finite-time passivity, and
multiple weights. Furthermore, the research results previously
published in many flagship journals are methodically edited and
presented in a unified form. The book is likely to be of interest
to university researchers and graduate students in Engineering and
Mathematics who wish to study the passivity of complex dynamical
networks.
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 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.
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 coupling weights, multiple weights, the
relationship between output strict passivity and output
synchronization. Furthermore, it methodically edits the research
results previously published in various flagship journals and
presents them in a unified form. The book is of interest to
university researchers and graduate students in engineering and
mathematics who wish to study output synchronization of complex
dynamical networks.
Anisotropic Particle Assemblies: Synthesis, Assembly, Modeling, and
Applications covers the synthesis, assembly, modeling, and
applications of various types of anisotropic particles. Topics such
as chemical synthesis and scalable fabrication of colloidal
molecules, molecular mimetic self-assembly, directed assembly under
external fields, theoretical and numerical multi-scale modeling,
anisotropic materials with novel interfacial properties, and the
applications of these topics in renewable energy, intelligent
micro-machines, and biomedical fields are discussed in depth.
Contributors to this book are internationally known experts who
have been actively studying each of these subfields for many years.
This book is an invaluable reference for researchers and chemical
engineers who are working at the intersection of physics,
chemistry, chemical engineering, and materials science and
engineering. It educates students, trains the next generation of
researchers, and stimulates continuous development in this rapidly
emerging area for new materials and innovative technologies.
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