Mo(W)-Based Catalysts have the capacity to drastically impact many different industries. Research on their most current applications is important for the success of many organizations and companies, specifically the chemical and petroleum industries. Innovative Applications of Mo(W)-Based Catalysts in the Petroleum and Chemical Industry: Emerging Research and Opportunities is an informative resource that overviews emerging methods and techniques that incorporate 2D layer Mo(W) dichalcogenides. Featuring extensive coverage on a range of subjects including 2D nanosheets, hybridization, dichacogenides, and oxide based catalysts, this is an ideal publication for academicians, students, engineers, and researchers seeking insight on the latest advancements in Mo(W)-Based catalyst applications.

This monograph provides a comprehensive exploration of new tools for modelling, analysis, and control of networked dynamical systems. Expanding on the authors' previous work, this volume highlights how local exchange of information and cooperation among neighboring agents can lead to emergent global behaviors in a given networked dynamical system. Divided into four sections, the first part of the book begins with some preliminaries and the general networked dynamical model that is used throughout the rest of the book. The second part focuses on synchronization of networked dynamical systems, synchronization with non-expansive dynamics, periodic solutions of networked dynamical systems, and modulus consensus of cooperative-antagonistic networks. In the third section, the authors solve control problems with input constraint, large delays, and heterogeneous dynamics. The final section of the book is devoted to applications, studying control problems of spacecraft formation flying, multi-robot rendezvous, and energy resource coordination of power networks. Modelling, Analysis, and Control of Networked Dynamical Systems will appeal to researchers and graduate students interested in control theory and its applications, particularly those working in networked control systems, multi-agent systems, and cyber-physical systems. This volume can also be used in advanced undergraduate and graduate courses on networked control systems and multi-agent systems.

Gradual change has been a hallmark of the Chinese reform experience, and China's success in its sequential approach makes it unique among the former command economies. Since 1979, with the inception of the continuing era of reform, the Chinese economy has flourished. Growth has averaged nine percent a year, and China is now a trillion dollar economy. China has become a major trading power, and the predominant target among developing countries for foreign direct investment. For all that, China remains poor, and the reform process unfinished. This book takes its defining theme from Deng Xiaopeng's famous metaphor for gradual reform: feeling the stones to cross the river. How far has China progressed in fording the river? The experts who have contributed to this volume tackle many aspects of that question, assessing Chinese progress in policy reform, priorities for further reform and the research still needed to inform policymakers' decisions.

This book presents a unified theoretical framework of some recent developments on the impulsive control theory and its applications to engineering problems. Different structures of impulsive control systems and impulsive control strategies are presented. The following theoretical aspects are also addressed: basic knowledge of impulsive differential equations; controllability and stability of linear impulsive control systems; stability of nonlinear impulsive control systems including: practical stability, global stability, absolute stability, stability in terms of two measures; and optimal impulsive control. This book presents also some engineering applications of impulsive control theory. The readers of this book are scientists, engineers, researchers and graduate students interested in impulsive control, nonlinear control systems, chaotic communications systems and nano-electronics.

This book constitutes the refereed proceedings of the Third International Workshop on Parallel Algorithms for Irregularly Structured Problems, IRREGULAR '96, held in Santa Barbara, California, in August 1996.
The volume presents 28 revised full papers selected from 51 submissions; also included are one full invited paper by Torben Hagerup and abstracts of four other invited talks. The papers are organized in topical sections on sparse matrix problems, partitioning and domain composition, irregular applications, communication and synchronization, systems support, and mapping and load balancing.

This monograph provides a comprehensive exploration of new tools for modelling, analysis, and control of networked dynamical systems. Expanding on the authors' previous work, this volume highlights how local exchange of information and cooperation among neighboring agents can lead to emergent global behaviors in a given networked dynamical system. Divided into four sections, the first part of the book begins with some preliminaries and the general networked dynamical model that is used throughout the rest of the book. The second part focuses on synchronization of networked dynamical systems, synchronization with non-expansive dynamics, periodic solutions of networked dynamical systems, and modulus consensus of cooperative-antagonistic networks. In the third section, the authors solve control problems with input constraint, large delays, and heterogeneous dynamics. The final section of the book is devoted to applications, studying control problems of spacecraft formation flying, multi-robot rendezvous, and energy resource coordination of power networks. Modelling, Analysis, and Control of Networked Dynamical Systems will appeal to researchers and graduate students interested in control theory and its applications, particularly those working in networked control systems, multi-agent systems, and cyber-physical systems. This volume can also be used in advanced undergraduate and graduate courses on networked control systems and multi-agent systems.

In the human language system there are two grammatical centres, nouns and verbs. A noun is described as the name of any person, place, or thing; while a verb is a word that shows any form of action. Human beings use words to express their own thoughts and to interpret the intentions of others. Natural languages play a very important role in human intelligence. To build intelligent machines, we need to bridge machines and human brains with a communication interface-a language system. However, we still need a paradigm to implement dynamic verbs in machines. This book explains how computational verb systems were developed in this context, and 'living' verbs are embedded into machines. By using these computational verb systems, 'dynamic' knowledge and experience can be embedded into machine intelligence. It also explains the unique role played by computational verb systems in information and sciences, and how we need to know different knowledge representing paradigms used in informational systems. In this book, not only the machine models of verbs, but also a complete artificial language studied from the dynamic model of human perception.

Chaotic Communication Systems