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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.
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 of multiagent systems. The book provides professional and convenient guidance for those who want to know basic knowledge, advancements, and processes for designing and analyzing cooperative control for nonlinear multiagent systems.Currently, there are a lack of reference titles that systematically introduce students, researchers, and technologists to the backgrounds, developments, and designs protocols for cooperative control (contains passivity-based or not passivity-based consensus, lag consensus, formation control) of nonlinear multiagent systems. - Constructs the frameworks of passivity analysis, consensus control, lag consensus control, and formation control for multiagent systems - Helps readers learn novel control methods - Includes systematic introductions and detailed implementations on how control protocols solve problems in nonlinear multiagent systems
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.
Selected, peer reviewed papers from the 2014 4th International Conference on Mechanical Engineering, Industry and Manufacturing Engineering (MEIME 2014), October 25-26, 2014, Beijing, China
A beggar, an itinerant monk, leapt to greatness during a tumultuous epoch and went on to found the Ming Dynasty of China (1368--1644). As a destitute peasant with nothing to lose, he started a local rebellion; success built on success. Defeating local warlords, Zhu Yuan Zhang conquered all the southern part of China, then sent his army north and took the rest. By unifying many Chinese lands, he brought peace and prosperity after a long period of tumult. He is honored with the temple name of Ming Taizu, Grand Ancestor of Ming.
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.
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Given China’s rapid economic growth and massive urbanization, no one in the world can ignore what is happening in urban China. This book is a critical review of existing urban China research, which is found wanting due to the decontextualized use of theories and concepts developed in the West. Urban China Reframed: A Critical Appreciation consists of epistemological, theoretical and methodological contributions to remedy these limitations by focusing on a number of relevant topics. First, models are widely employed in any study, and China nowadays has invoked models like city system, zones and global city in socio-economic development. How to interpret them in terms of knowledge production...