This book is inspired by the development of distributed model predictive control of networked systems to save computation and communication sources. The significant new contribution is to show how to design efficient DMPCs that can be coordinated asynchronously with the increasing effectiveness of the event-triggering mechanism and how to improve the event-triggered DMPC for different requirements improvement of control performance, extension to interconnected networked systems, etc. The book is likely to be of interest to the persons who are engaged in researching control theory in academic institutes, the persons who go in for developing control systems in R&D institutes or companies, the control engineers who are engaged in the implementation of control algorithms, and people who are interested in the distributed MPC.
This book is inspired by the development of distributed model predictive control of networked systems to save computation and communication sources. The significant new contribution is to show how to design efficient DMPCs that can be coordinated asynchronously with the increasing effectiveness of the event-triggering mechanism and how to improve the event-triggered DMPC for different requirements improvement of control performance, extension to interconnected networked systems, etc. The book is likely to be of interest to the persons who are engaged in researching control theory in academic institutes, the persons who go in for developing control systems in R&D institutes or companies, the control engineers who are engaged in the implementation of control algorithms, and people who are interested in the distributed MPC.
This book reviews the latest advances in the development of silicon nano-biotechnology for biological and biomedical applications, which include biosensing, bioimaging, and cancer therapy. In this book, newly developed silicon nano-biotechnology and its biomedical applications are systematically introduced. For instance, fluorescent silicon nanoparticles, serving as novel high-performance biological nanoprobes, are superbly suited to real-time and long-term bioimaging. Silicon nanowire-based sensing platform is especially capable of sensitive, specific, and multiplexed detection of various biological species. Silicon-based nanocarriers with ultra-high drug-loading capacity are highly efficacious for in vitro and in vivo cancer therapies. This book is intended for readers who are interested in the design of functional silicon nanostructures and their biological and biomedical applications. It uses silicon nanoparticles and silicon nanowires as models and discusses topics ranging from their synthesis to their biological applications, the goal being to highlight these exciting achievements as starting points in the field of silicon nano-biotechnology. Yao He is a Professor at Institute of Functional Nano&Soft Materials (FUNSOM), Soochow University, China. Yuanyuan Su is an Associate Professor at Institute of Functional Nano&Soft Materials (FUNSOM), Soochow University, China.
This book provides detailed systematic micro-level analysis of the historical development of the Chinese banking industry, focusing in particular on the development of the Bank of China (BOC) in the period 1905 to 1949. Banking reform is a key area of China’s economic transformation, and this book, bringing a vast amount of material to a Western audience for the first time, provides a detailed evidence of the key challenges faced by a major Chinese bank. The book: addresses important issues in its evolution, including corporate governance government intervention, foreign competition and white-collar crime evaluates how the challenges in these areas were met considers the results of its efforts draws lessons for policy making today.
There has been a surging interest in developing systems for analyzing big graphs generated by real applications, such as online social networks and knowledge graphs. This book aims to help readers get familiar with the computation models of various graph processing systems with minimal time investment. This book is organized into three parts, addressing three popular computation models for big graph analytics: think-like-a-vertex, think-likea- graph, and think-like-a-matrix. While vertex-centric systems have gained great popularity, the latter two models are currently being actively studied to solve graph problems that cannot be efficiently solved in vertex-centric model, and are the promising next-generation models for big graph analytics. For each part, the authors introduce the state-of-the-art systems, emphasizing on both their technical novelties and hands-on experiences of using them. The systems introduced include Giraph, Pregel+, Blogel, GraphLab, CraphChi, X-Stream, Quegel, SystemML, etc. Readers will learn how to design graph algorithms in various graph analytics systems, and how to choose the most appropriate system for a particular application at hand. The target audience for this book include beginners who are interested in using a big graph analytics system, and students, researchers and practitioners who would like to build their own graph analytics systems with new features.
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