Lei Guo - Böcker

The growth of technology for chemical assessment has led to great developments in the investigation of chemical reactivity in recent years, but key information is often dispersed across many different research fields. Combining both original principles and the cutting-edge theories used in chemical reactivity analysis, Chemical Reactivity, Volume 1 present the latest developments in theoretical chemistry and its application for the assessment of chemical processes.Beginning with an exploration of different theories and principles relating to electronic structure and reactivity of confined electronic systems, the book goes on to highlight key information on such topics as Dyson orbitals, target-ion overlaps, reaction fragility, magnetizability principles and the Fuki function. Density Functional Theory is discussed in relation to numerous different principles and approaches, with further information on constrained methods and diabatic models, bonding evolution theory, orbital-based population analysis models and charge transfer models, and Quantum chemistry and QTAIM.Consolidating the knowledge of a global team of experts in the field, Chemical Reactivity, Volume 1: Theories and Principles is a useful resource for both students and researchers interested in gaining greater understanding of the principles and theories underpinning chemical reactivity analysis. Provides readers with the key information needed to gain a good overview of contemporary chemical reactivity studies and a clear understanding of the theory behind state-of-the-art methods in the field Highlights advances in the computational descriptions of reactivity, including reactivity in confined environments, conceptual density functional theory, and multi-reference quantum chemistry Provides comprehensive coverage by consolidating the knowledge of many well-known researchers in the field from around the world

The growth of technology for chemical assessment has led to great developments in the investigation of chemical reactivity in recent years, but key information is often dispersed across many different research fields. Exploring both traditional and advanced methods, Chemical Reactivity, Volume 2: Approaches and Applications present the latest approaches and strategies for the computational assessment of chemical reactivity.Following an insightful introduction, the book begins with an overview of conformer searching techniques before progressing to explore numerous different techniques and methods, including confined environments, quantum similarity descriptors, volume-based thermodynamics and polarizability. A unified approach to the rules of aromaticity is followed by methods for assessing interaction energies and the role of electron density for varied different analyses. Algorithms for confirmer searching, partitioning and a whole range of quantum chemical methods are also discussed.Consolidating the knowledge of a global team of experts in the field, Chemical Reactivity, Volume 2: Approaches and Applications is a useful resource for both students and researchers interested in applying and refining their use of the latest approaches for assessing chemical reactivity in their own work. Compiles a broad range of contemporary methods and approaches for reactivity and structure prediction Highlights the application of chemical reactivity strategies for the investigation of such areas as aromaticity, halogen bonds, and electronic materials Includes discussion of computational tools for exploring molecular spaces from different angles, including?interaction energies, quantum similarity, and electron density

Eco-Friendly Corrosion Inhibitors: Principles, Designing, and Applications wraps up new developments in corrosion inhibitors and their current applications in real-life environments such as in strong acidic pickling and petroleum-based liquids. The book covers several types of environmentally-friendly corrosion inhibitors in detail. In addition, it highlights both established research and technology on industrial scale corrosion inhibitors and their rapidly emerging aspects and future research directions. Provides fundamental basics and applied practices of corrosion prevention at industrial scale Serves as a valuable reference for scientists and engineers who are searching modern design for industrial scale corrosion inhibitors Focuses on the most advanced industrial scale corrosion inhibitors, including current challenges during manufacturing Includes up-to-date reference material such as websites of interest and information about the latest research

This book adopts a systematic view of the control systems in cyber-physical systems including the security control of the optimal control system, security control of the non-cooperative game system, quantify the impact of the Denial-of-Service attacks on the optimal control system, and the adaptive security control of the networked control systems. Because the cyber-physical system is a hybrid system, it adopts cross layer approach to handle the security control of the CPS. It presents a number of attack models according to the attack scenario and defense facilities, and a number of cross-layer co-design methodologies to secure the control of CPS.

Aerospace vehicles are by their very nature a crucial environment for safety-critical systems. By virtue of an effective safety control system, the aerospace vehicle can maintain high performance despite the risk of component malfunction and multiple disturbances, thereby enhancing aircraft safety and the probability of success for a mission.Autonomous Safety Control of Flight Vehicles presents a systematic methodology for improving the safety of aerospace vehicles in the face of the following occurrences: a loss of control effectiveness of actuators and control surface impairments; the disturbance of observer-based control against multiple disturbances; actuator faults and model uncertainties in hypersonic gliding vehicles; and faults arising from actuator faults and sensor faults. Several fundamental issues related to safety are explicitly analyzed according to aerospace engineering system characteristics; while focusing on these safety issues, the safety control design problems of aircraft are studied and elaborated on in detail using systematic design methods. The research results illustrate the superiority of the safety control approaches put forward.The expected reader group for this book includes undergraduate and graduate students but also industry practitioners and researchers.About the Authors:Xiang Yu is a Professor with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests include safety control of aerospace engineering systems, guidance, navigation, and control of unmanned aerial vehicles.Lei Guo, appointed as "Chang Jiang Scholar Chair Professor", is a Professor with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests include anti-disturbance control and filtering, stochastic control, and fault detection with their applications to aerospace systems.Youmin Zhang is a Professor in the Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Québec, Canada. His research interests include fault diagnosis and fault-tolerant control, and cooperative guidance, navigation, and control (GNC) of unmanned aerial/space/ground/surface vehicles.Jin Jiang is a Professor in the Department of Electrical & Computer Engineering, Western University, London, Ontario, Canada. His research interests include fault-tolerant control of safety-critical systems, advanced control of power plants containing non-traditional energy resources, and instrumentation and control for nuclear power plants.

Aerospace vehicles are by their very nature a crucial environment for safety-critical systems. By virtue of an effective safety control system, the aerospace vehicle can maintain high performance despite the risk of component malfunction and multiple disturbances, thereby enhancing aircraft safety and the probability of success for a mission.Autonomous Safety Control of Flight Vehicles presents a systematic methodology for improving the safety of aerospace vehicles in the face of the following occurrences: a loss of control effectiveness of actuators and control surface impairments; the disturbance of observer-based control against multiple disturbances; actuator faults and model uncertainties in hypersonic gliding vehicles; and faults arising from actuator faults and sensor faults. Several fundamental issues related to safety are explicitly analyzed according to aerospace engineering system characteristics; while focusing on these safety issues, the safety control design problems of aircraft are studied and elaborated on in detail using systematic design methods. The research results illustrate the superiority of the safety control approaches put forward.The expected reader group for this book includes undergraduate and graduate students but also industry practitioners and researchers.About the Authors:Xiang Yu is a Professor with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests include safety control of aerospace engineering systems, guidance, navigation, and control of unmanned aerial vehicles.Lei Guo, appointed as "Chang Jiang Scholar Chair Professor", is a Professor with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests include anti-disturbance control and filtering, stochastic control, and fault detection with their applications to aerospace systems.Youmin Zhang is a Professor in the Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Québec, Canada. His research interests include fault diagnosis and fault-tolerant control, and cooperative guidance, navigation, and control (GNC) of unmanned aerial/space/ground/surface vehicles.Jin Jiang is a Professor in the Department of Electrical & Computer Engineering, Western University, London, Ontario, Canada. His research interests include fault-tolerant control of safety-critical systems, advanced control of power plants containing non-traditional energy resources, and instrumentation and control for nuclear power plants.

Water-Stable Metal-Organic Frameworks (WSMOFs) presents water-stable metal-organic frameworks for mitigating environmental pollutants, i.e. sensing and degradation/removal applications to protect the ecological system, both environmental and aquatic life, from various types of toxic pollutants released from industries. The pressing challenge of extracting common pollutants, including heavy metal ions, anions, oil, and radionuclides from water sources is a critical issue due to the widespread problem of environmental contamination. Various approaches have been explored for this purpose, such as sorbents, chemical precipitation, and traditional membrane separation. However, these methods often suffer from inadequate selectivity and low pollutant uptake.Developing water-stable MOFs is the key to advancing effective water purification techniques, but the primary challenge lies in crafting MOF structures that can maintain their stability when exposed to water.Provides chronological advancements of water-stable metal-organic frameworks-based nanostructures and their use as advanced materialsAnalyzes the use of water-stable, metal-organic frameworks and water-stable, metal-organic framework-based hybrid materials as advanced environmental remediation toolsCovers the water-stability of MOFs as a primary topic, providing readers with key features to achieve said property

Identifying the input-output relationship of a system or discovering the evolutionary law of a signal on the basis of observation data, and applying the constructed mathematical model to predicting, controlling or extracting other useful information constitute a problem that has been drawing a lot of attention from engineering and gaining more and more importance in econo­ metrics, biology, environmental science and other related areas. Over the last 30-odd years, research on this problem has rapidly developed in various areas under different terms, such as time series analysis, signal processing and system identification. Since the randomness almost always exists in real systems and in observation data, and since the random process is sometimes used to model the uncertainty in systems, it is reasonable to consider the object as a stochastic system. In some applications identification can be carried out off line, but in other cases this is impossible, for example, when the structure or the parameter of the system depends on the sample, or when the system is time-varying. In these cases we have to identify the system on line and to adjust the control in accordance with the model which is supposed to be approaching the true system during the process of identification. This is why there has been an increasing interest in identification and adaptive control for stochastic systems from both theorists and practitioners.

Corrosion is a great challenge in many industries, especially in the automotive, aerospace, and oil and gas industries, with conservative estimations accounting for losses of around 2.2 trillion US dollars per year in the United States alone. Providing a comprehensive overview of the history and development of nanomaterials, this book discusses various practices for protection against corrosion.Key Features:Provides a comprehensive and updated review of major innovations in the field of nanomaterials in industrial, corrosion, and environmental science and engineeringEncompasses design, characterization, mechanism, and application of nanomaterials from different strategies on the efficacy and major challenges associated with successful scaleup designingEssential reference for present and future research in nanomaterialsIncludes relevant aspects of organic and inorganic nanomaterials, hybrid nanomaterials, and nanocoatings in anticorrosion applicationsCoalescing a wide range of research on nanomaterials and anticorrosion practices, this book is of particular appeal to students, industry professionals, and academics.

The main focus of this monograph will be on the Enhanced Anti-Disturbance Control and filtering theory and their applications. In fact, the classical anti-disturbance control theory only considered one "equivalent" disturbance which is merged by different unknown sources. However, it is noted that along with the development of information obtaining and processing technologies, one can get more information or knowledge about various types of disturbances.

This book adopts a systematic view of the control systems in cyber-physical systems including the security control of the optimal control system, security control of the non-cooperative game system, quantify the impact of the Denial-of-Service attacks on the optimal control system, and the adaptive security control of the networked control systems. Because the cyber-physical system is a hybrid system, it adopts cross layer approach to handle the security control of the CPS. It presents a number of attack models according to the attack scenario and defense facilities, and a number of cross-layer co-design methodologies to secure the control of CPS.

The news media have significant influence on the formation of public opinion. Called the agenda-setting role of the media, this influence occurs at three levels. Focusing public attention on a select few issues or other topics at any moment is level one. Emphasizing specific attributes of those issues or topics is level two. The Power of Information Networks: The Third Level of Agenda Setting introduces the newest perspective on this influence. While levels one and two are concerned with the salience of discrete individual elements, the third level offers a more comprehensive and nuanced perspective to explain media effects in this evolving media landscape: the ability of the news media to determine how the public associates the various elements in these media messages to create an integrated picture of public affairs. This is the first book to detail the theoretical foundations, methodological approaches, and international empirical evidence for this new perspective. Cutting-edge communication analytics such as network analysis, Big Data and data visualization techniques are used to examine these third-level effects. Diverse applications of the theory are documented in political communication, public relations, health communication, and social media research. The Power of Information Networks will interest scholars, students and practitioners concerned with the media and their social and cultural effects.

The news media have significant influence on the formation of public opinion. Called the agenda-setting role of the media, this influence occurs at three levels. Focusing public attention on a select few issues or other topics at any moment is level one. Emphasizing specific attributes of those issues or topics is level two. The Power of Information Networks: The Third Level of Agenda Setting introduces the newest perspective on this influence. While levels one and two are concerned with the salience of discrete individual elements, the third level offers a more comprehensive and nuanced perspective to explain media effects in this evolving media landscape: the ability of the news media to determine how the public associates the various elements in these media messages to create an integrated picture of public affairs. This is the first book to detail the theoretical foundations, methodological approaches, and international empirical evidence for this new perspective. Cutting-edge communication analytics such as network analysis, Big Data and data visualization techniques are used to examine these third-level effects. Diverse applications of the theory are documented in political communication, public relations, health communication, and social media research. The Power of Information Networks will interest scholars, students and practitioners concerned with the media and their social and cultural effects.

A recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of LMI-based convex optimization methods. Within this theoretical framework, control parameter determination can be designed and stability and robustness of closed-loop systems can be analyzed. This book describes the new framework of SDC system design and provides a comprehensive description of the modelling of controller design tools and their real-time implementation. It starts with a review of current research on SDC and moves on to some basic techniques for modelling and controller design of SDC systems. This is followed by a description of controller design for fixed-control-structure SDC systems, PDF control for general input- and output-represented systems, filtering designs, and fault detection and diagnosis (FDD) for SDC systems. Many new LMI techniques being developed for SDC systems are shown to have independent theoretical significance for robust control andFDD problems.

Identifying the input-output relationship of a system or discovering the evolutionary law of a signal on the basis of observation data, and applying the constructed mathematical model to predicting, controlling or extracting other useful information constitute a problem that has been drawing a lot of attention from engineering and gaining more and more importance in econo­ metrics, biology, environmental science and other related areas. Over the last 30-odd years, research on this problem has rapidly developed in various areas under different terms, such as time series analysis, signal processing and system identification. Since the randomness almost always exists in real systems and in observation data, and since the random process is sometimes used to model the uncertainty in systems, it is reasonable to consider the object as a stochastic system. In some applications identification can be carried out off line, but in other cases this is impossible, for example, when the structure or the parameter of the system depends on the sample, or when the system is time-varying. In these cases we have to identify the system on line and to adjust the control in accordance with the model which is supposed to be approaching the true system during the process of identification. This is why there has been an increasing interest in identification and adaptive control for stochastic systems from both theorists and practitioners.

The main focus of this monograph will be on the Enhanced Anti-Disturbance Control and filtering theory and their applications. In fact, the classical anti-disturbance control theory only considered one "equivalent" disturbance which is merged by different unknown sources. However, it is noted that along with the development of information obtaining and processing technologies, one can get more information or knowledge about various types of disturbances.

A recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of LMI-based convex optimization methods. Within this theoretical framework, control parameter determination can be designed and stability and robustness of closed-loop systems can be analyzed. This book describes the new framework of SDC system design and provides a comprehensive description of the modelling of controller design tools and their real-time implementation. It starts with a review of current research on SDC and moves on to some basic techniques for modelling and controller design of SDC systems. This is followed by a description of controller design for fixed-control-structure SDC systems, PDF control for general input- and output-represented systems, filtering designs, and fault detection and diagnosis (FDD) for SDC systems. Many new LMI techniques being developed for SDC systems are shown to have independent theoretical significance for robust control andFDD problems.

This book constitutes the refereed post-conference proceedings of the 10th International Conference on Mobile Communication and Healthcare, MobiHealth 2021, held in November 2021. Due to Covid-19 pandemic the conference was held virtually.

This book focuses on anti-disturbance intrusion- and fault-tolerant consensus control for MASs. The main feature of this book is the successful introduction of event-triggered distributed adaptive feedback control methodology, observer technology, and sliding mode technology to solve the problem of anti-disturbance, intrusion-tolerant, and fault-tolerant control of MAS. Meanwhile, pinning control strategies are proposed to realize the cluster consensus control of MAS. In addition, based on the Nussbaum function, the fault-tolerant control problems of different types of MASs subjected to time-varying unknown nonidentical direction (TVUND) faults are investigated. This book provides a coherent approach and contains valuable reference materials for researchers who wish to explore the area of MAS. Researchers, graduate students, and engineers in the fields of electrical engineering, control engineering, applied mathematics, computer science, and others will benefit from this book.

This book explores the intelligent autonomous control problems for spacecraft with multiple constraints, such as pointing/path constraints, linear/angular velocity constraints, performance constraints, etc.