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Inspired by the community behaviors of animals and humans, cooperative control has been intensively studied by numerous researchers in recent years. Cooperative control aims to build a network system collectively driven by a global objective function in a distributed or centralized communication network and shows great application potential in a wide domain. From the perspective of cybernetics in network system cooperation, one of the main tasks is to design the formation control scheme for multiple intelligent unmanned systems, facilitating the achievements of hazardous missions – e.g., deep space exploration, cooperative military operation, and collaborative transportation. Various chall...
How will artificial intelligence (AI), reshape work, commerce, relationships, and reality? As AI shatters barriers and ascends to CEO positions, rewriting the rules of our world, it renders millions who were previously considered impervious, vulnerable to its effects. When a tranquil Canadian evening takes a sinister turn, an elderly couple becomes ensnared in a cruel deception that exposes the unsettling complexities of AI. Surpassing the scope of science fiction and our brain’s ability to comprehend it, AI is on a path to alter society's foundation, adeptly replacing jobs and instigating a major shift in social roles—ushering a new economic era. Yet, few are prepared to adapt. "The Wol...
The book Control of Nonlinear Systems–Stability and Performance fills a crucial gap in the field of nonlinear control systems by providing a comprehensive yet accessible treatment of the subject. Unlike many existing texts that are either too complex for beginners or omit essential topics, this book strikes the right balance of mathematical rigor and practicality. The main objective of the book is to simplify and unify the existing techniques for designing and analyzing control systems for nonlinear systems. It aims to alleviate confusion and difficulty in understanding these methods, making it an invaluable resource for students, researchers, and practitioners in the field. By presenting ...
This book, when compared to other books on leadership, is expected to present a new understanding of the essential features of leadership and it varies from the wealth of literature in the following ways: firstly, this book attempts to include leaders at all management levels within an organization and across various sectors. This book also aims to provide experiences and reflections across a variety of sectors and organizational structures rather than focusing on one set of definitions (as is the case in current leadership sources). Finally, this book is expected to offer a new perspective addressing and inspiring actual leaders today and potential ones and contributing to the existing debate on leadership.
The book introduces readers to the basic principle of optical imaging technologies. Focusing on human disease diagnostics using optical imaging methods, it provides essential information for researchers in various fields and discusses the latest trends in optical imaging. In recent decades, there has been a huge increase in imaging technologies and their applications in human diseases diagnostics, including magnetic resonance imaging, x-ray computed tomography, and nuclear tomographic imaging. This book promotes further developments to extend optical imaging to a wider range of disease diagnostics. It is a valuable resource for researchers and students in the field of biomedical optics, as well as for clinicians.
Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring. Consensus control is one of the most typical and hot research issues for multi-agent systems. Distributed Adaptive Consensus Control of Uncertain Multi-agent Systems provides innovative technologies to design and analyze distributed adaptive consensus for multi-agent systems with model uncertainties. Based on the basic graph theory and adaptive backstepping control, this monograph: · Describes the state of the art on distributed adaptive...
Significant changes in diet, environment, and population increase gastrointestinal cancer morbidity. A growing number of novel biomarkers and underlying mechanisms are being elucidated, some of which may even conflict with assumptions of past decades. Therefore, collecting recent findings on novel diagnostic/prognostic factors, biomarkers, and/or risk factors in gastrointestinal cancers is a prerequisite for a better understanding of the disease. Despite remarkable progressions in surgical treatments and chemotherapies, the prognosis of gastrointestinal cancer is far from satisfactory due to the high occurrence of drug resistance. Based on the identification of novel biomarkers as well as th...