Bücher von Bin Jiang

The goal of this book is to improve the ability of enterprises to implement the green growth model and value chain reconstruction. Chinäs environmental development strategies, such as carbon peak emission and carbon neutrality, have created new challenges and requirements for enterprises to ¿go green.¿ In addition, anti-globalization and the complex dynamic uncertainty caused by COVID-19 have changed the operational environment that enterprises face. The application of new technologies, including the new generation of information technologies and the whole process management technology, provides solutions for the implementation of enterprises¿ green growth model and value chain reconstruction. Based on Chinäs enterprise management cases, this book reveals the connotative features of enterprises¿ green growth model and their evolutionary regularities, the overall framework and decision optimization of value chain reconstruction under the green growth model, and the approach to implementing the green growth model and value chain reconstruction. The theoretical framework of the green growth model and value chain reconstruction established in this book has enriched and developed the research results in this field. Cases of enterprises implementing the green growth model can provide references for the green transformation of enterprises and help enterprises appreciate the synergy between sustainability and growth. This book can also serve as a research reference for scholars engaged in the field of sustainable operations, as well as decision-makers and managers of relevant government departments.

This book presents reinforcement learning (RL) based solutions for user-centric online network selection optimization. The second part (chapter 4 and 5) focuses on how to meet dynamic user demand in complex and uncertain heterogeneous wireless networks under the framework of markov decision process (MDP).

This book provides readers with a systematic and unified framework for identification and adaptive control of Takagi-Sugeno (T-S) fuzzy systems. The book embodies a systematic study of fuzzy system identification and control problems, using T-S fuzzy system tools for both function approximation and feedback control of nonlinear systems.

This book investigates observer-fault estimation techniques in detail, while also highlighting recent research and findings regarding fault estimation. In turn, fault isolation is used to identify the location of the faulty component, while fault estimation is used to identify the size of the fault online.

This book provides recent theoretical developments in and practical applications of fault diagnosis and fault tolerant control for complex dynamical systems, including uncertain systems, linear and nonlinear systems.

This book presents up-to-date research and novel methodologies on fault diagnosis and fault tolerant control for switched linear systems.

This book provides its reader with a good understanding of the stabilization of switched nonlinear systems (SNS), systems that are of practical use in diverse situations: design of fault-tolerant systems in space- and aircraft;

Due to the increasing security and reliability demand of actual industrial process control systems, the study on fault diagnosis and fault tolerant control of dynamic systems has received considerable attention.