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 s...

Ecostacking is a new concept and approach which aims to maximize the benefits of ecosystem service providers in cropping systems to help achieve the goal of long-term sustainable agriculture and food production. The term "ecostacking" means combining synergistically the beneficial services of functional biodiversity from all levels and types. It is a comprehensive approach, where the various ecosystem service providers are fully integrated with the rest of the cropping system including agr...

Power Converters for Photovoltaic Power Systems: Control, Fault Diagnosis, and Reliability Analysis guides readers through the latest technologies and applications of advanced converters for the renewable-integrated energy systems of the future. The book begins with an introduction to the design principles of converters for PV applications and grid synchronization techniques before breaking down complex control strategies for PV systems, including the injection of active and reactive power...

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 likel...

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...

This textbook was compiled with a focus on the local Indian context, culture, and business practices. The topics can be divided into two categories: social life, and workplace activities related to business communication, designed to enhance the business Mandarin Chinese communication skills of learners. There are 10 lessons each in three volumes, for a total of 30 lessons, in line with the number of hours in a typical semester in India.

This textbook was compiled with a focus on the local Indian context, culture, and business practices. The topics can be divided into two categories: social life, and workplace activities related to business communication, designed to enhance the business Mandarin Chinese communication skills of learners. There are 10 lessons each in three volumes, for a total of 30 lessons, in line with the number of hours in a typical semester in India.

This textbook was compiled with a focus on the local Indian context, culture, and business practices. The topics can be divided into two categories: social life, and workplace activities related to business communication, designed to enhance the business Mandarin Chinese communication skills of learners. There are 10 lessons each in three volumes, for a total of 30 lessons, in line with the number of hours in a typical semester in India.

This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, a...

Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content.Each of the twenty-five chapters includes state-of-the-art descriptions and important research...

The positive reciprocal pairwise comparison matrix (PCM) is one of the key components which is used to quantify the qualitative and/or intangible attributes into measurable quantities. This book examines six understudied issues of PCM, i.e. consistency test, inconsistent data identification and adjustment, data collection, missing or uncertain data estimation, and sensitivity analysis of rank reversal. The maximum eigenvalue threshold method is proposed as the new consistency index for the...

This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.