Xian Zhang

This book provides a direct method based on system solutions to address the problems related to the analysis and control of delayed neural networks. The method proposed in this book is important for the following reasons: It does not involve the construct of any Lyapunov-Krasovskii functional (LKF), which overcomes the difficulty in constructing an appropriate and effective LKF; It can provide more simpler sufficient conditions, and hence it possesses less computational complexity; It can result in delay-dependent global exponential stability criteria that can used to give the decay rate estimation of the state; It is suitable for analysis and design problems of most system models with (multiple) delays after a small modification. The book is divided into 11 chapters, and focuses on the analysis and design problems related to delayed neural networks. It is written for graduate students and research level mathematicians and is suitable for postgraduates or as a reference.

This book focuses on the business operation of virtual power plants. Both of the business models and reliable operation of virtual power plants have been addressed with engineering practices. This is achieved by providing an in-depth study on several major topics such as load forecasting for distributed energy resources, business model and practice of virtual power plants, the business operation of virtual power plants participating in demand response, and auxiliary service market. The dynamic pricing strategy of virtual power plants and reliable operation of power systems with virtual power plants are provided as well. The comprehensive and systematic treatment in business operation of virtual power plants is one of the major features of the book, which is particularly suited for readers who are interested to learn operation mechanisms of virtual power plants. The book benefits researchers, engineers, and graduate students in the fields of energy internet, electrical engineering, andbusiness administration, etc.

This book focuses on the business operation of virtual power plants. Both of the business models and reliable operation of virtual power plants have been addressed with engineering practices. This is achieved by providing an in-depth study on several major topics such as load forecasting for distributed energy resources, business model and practice of virtual power plants, the business operation of virtual power plants participating in demand response, and auxiliary service market. The dynamic pricing strategy of virtual power plants and reliable operation of power systems with virtual power plants are provided as well. The comprehensive and systematic treatment in business operation of virtual power plants is one of the major features of the book, which is particularly suited for readers who are interested to learn operation mechanisms of virtual power plants. The book benefits researchers, engineers, and graduate students in the fields of energy internet, electrical engineering, andbusiness administration, etc.

Bioleaching of chalcopyrite is always a challenge and research hotspot. The low copper extraction and dissolution kinetics restricted the industrial application of chalcopyrite bioleaching. To solve this problem, the dissolution process and passivation mechanism of chalcopyrite in bioleaching should be first studied, then the rate-limiting steps should be analysed explicitly, and finally the intensifying method can be put forward. Many scholars have made efforts to investigate the dissolution mechanism of chalcopyrite in bioleaching. However, there is no congruence of opinion as yet. Biohydrometallurgy of Chalcopyrite summarizes and discusses the reported research findings. In addition, this book publishes the related results found by the authors’ research. Then, the dissolution mechanism of chalcopyrite in bioleaching is interpreted. Finally, the process intensification techniques of chalcopyrite bioleaching are provided and discussed. Hence, this book provides useful reference and guidance in both laboratory research and industrial production.

This book offers an essential introduction to the latest advances in delayed genetic regulatory networks (GRNs) and presents cutting-edge work on the analysis and design of delayed GRNs in which the system parameters are subject to uncertain, stochastic and/or parameter-varying changes. Specifically, the types examined include delayed switching GRNs, delayed stochastic GRNs, delayed reaction–diffusion GRNs, delayed discrete-time GRNs, etc. In addition, the solvability of stability analysis, control and estimation problems involving delayed GRNs are addressed in terms of linear matrix inequality or M-matrix tests. The book offers a comprehensive reference guide for researchers and practitioners working in system sciences and applied mathematics, and a valuable source of information for senior undergraduates and graduates in these areas. Further, it addresses a gap in the literature by providing a unified and concise framework for the analysis and design of delayed GRNs.