This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system’s stability and performance. This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.
This book presents up-to-date research developments and novel methodologies to solve various stability and control problems of dynamic systems with time delays. First, it provides the new introduction of integral and summation inequalities for stability analysis of nominal time-delay systems in continuous and discrete time domain, and presents corresponding stability conditions for the nominal system and an applicable nonlinear system. Next, it investigates several control problems for dynamic systems with delays including H(infinity) control problem Event-triggered control problems; Dynamic output feedback control problems; Reliable sampled-data control problems. Finally, some application topics covering filtering, state estimation, and synchronization are considered. The book will be a valuable resource and guide for graduate students, scientists, and engineers in the system sciences and control communities.
This book provides an overview of crowdsourced data management. Covering all aspects including the workflow, algorithms and research potential, it particularly focuses on the latest techniques and recent advances. The authors identify three key aspects in determining the performance of crowdsourced data management: quality control, cost control and latency control. By surveying and synthesizing a wide spectrum of studies on crowdsourced data management, the book outlines important factors that need to be considered to improve crowdsourced data management. It also introduces a practical crowdsourced-database-system design and presents a number of crowdsourced operators. Self-contained and covering theory, algorithms, techniques and applications, it is a valuable reference resource for researchers and students new to crowdsourced data management with a basic knowledge of data structures and databases.
This book is mainly focused on the global impulsive synchronization of complex dynamical networks with different types of couplings, such as general state coupling, nonlinear state coupling, time-varying delay coupling, derivative state coupling, proportional delay coupling and distributed delay coupling. Studies on impulsive synchronization of complex dynamical networks have attracted engineers and scientists from various disciplines, such as electrical engineering, mechanical engineering, mathematics, network science, system engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of network synchronization and the significant influence of impulsive control in the design and optimization of complex networks. The primary audience for the book would be the scholars and graduate students whose research topics including the network science, control theory, applied mathematics, system science and so on.
This work addresses the multiple possibilities for using cinnamon for applications in food science technology and to help in the complimentary treatment and prevention of diseases, with priority given to secondary metabolites produced by this plant. Issues related to the functions of cinnamon and its applications, as well as the biosynthetic pathways of production by plants, are covered in depth. The link between food science and technology and specific medicinal plants has not been explored enough in the current literature, and this text looks to bridge this gap in its extensive coverage of cinnamon. CINNAMON: A Functional Food and Medicinal Plant provides readers with a broad and diverse overview of the importance of secondary metabolites produced by plants and the possibilities for innovative biotechnological approaches that introduce new potential to a wide range of industrial products. The application of cinnamon in products across food science and its numerous health benefits are outlined, including its use as a complimentary medicine for a number of diseases. This book features the main cinnamon varieties and production areas plus quality evaluation and bioactive compound extraction methods. The multiple applications of spices in foods are covered in depth, plus antioxidant activity and inhibitory effects on bacteria and fungi. Beyond its use in foods, readers will find chapters covering the antiviral effects of cinnamon and its use for the treatment and prevention of diabetes and other disorders. Also important is coverage on the safety aspects of cinnamon and its extracts. To date no book has exclusively covered the many uses of cinnamon and cinnamon extracts in food and pharmaceutical applications. This much-needed work provides a fully up to date and extensive overview for researchers to examine the many uses of cinnamon across multiple products and industries. .
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