Xiangyu Xu's Books

Principal Component Analysis Networks and Algorithms

By: Xiangyu Kong,Changhua Hu,Zhansheng Duan

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Principal Component Analysis Networks and Algorithms

By: Xiangyu Kong,Changhua Hu,Zhansheng Duan

This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc. It also discusses in detail various analysis methods for the convergence, stabilizing, self-stabilizing property of algorithms, and introduces the deterministic discrete-time systems method to analyze the convergence of PCA/MCA algorithms. Readers should be familiar with numerical analysis and the fundamentals of statistics, such as the basics of least squares and stochastic algorithms. Although it focuses on neural networks, the book only presents their learning law, which is simply an iterative algorithm. Therefore, no a priori knowledge of neural networks is required. This book will be of interest and serve as a reference source to researchers and students in applied mathematics, statistics, engineering, and other related fields.

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Page Count

339

Publisher

Springer

Published Date

ISBN 10

9811029156

ISBN 13

9789811029158

Micro- and Nano-Bionic Surfaces

Biomimetics, Interface Energy Field Effects, and Applications

By: Deyuan Zhang,Yonggang Jiang,Huawei Chen,Xiangyu Zhang,Lin Feng,Jun Cai

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Micro- and Nano-Bionic Surfaces

Biomimetics, Interface Energy Field Effects, and Applications

By: Deyuan Zhang,Yonggang Jiang,Huawei Chen,Xiangyu Zhang,Lin Feng,Jun Cai

Micro- and Nano-Bionic Surfaces: Biomimetics, Interface Energy Field Effects, and Applications synthesizes the latest research in bio-inspired surfaces and devices for tactile and flow field perception. The book provides solutions to common problems related to flow field/tactile perception, intelligent MEMS sensors, smart materials, material removal methods, cell/particle control methods, and micro-nano robot technology. With a heavy emphasis on applications throughout, the book starts by providing insights into biomimetic device design, outlining strategies readers can adopt for various engineering applications. From there, it introduces the controlling methods of smart materials, controlling methods from external energy input, and more. Sections demonstrate how to solve problems of high efficiency, high quality, and low damage material removal for metals, composites, soft tissues, and other materials by applying bionic wave-motion surface characteristics. The latest theoretical and technical developments in field control methods applied to biological interfaces are also discussed, and the book concludes with a chapter on fabrication strategies to synthesize micro/nano functional particles based on bio-templates. - Provides an overview on the latest research in bio-inspired surfaces and devices for tactile and flow-field perception - Introduces techniques for characterizing different bionic surfaces and how to use energy fields analysis to treat different bionic surface and interface problems - Discusses the latest theoretical and experimental developments in field control and their applications in the biomedical field - Outlines fabrication methods and assembly and alignment processes of micro-/nano-functional particles based on microorganism templates

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Page Count

360

Publisher

Elsevier

Published Date

ISBN 10

0128245034

ISBN 13

9780128245033

Spacecraft Autonomous Navigation Technologies Based on Multi-source Information Fusion

By: Dayi Wang,Maodeng Li,Xiangyu Huang,Xiaowen Zhang

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Spacecraft Autonomous Navigation Technologies Based on Multi-source Information Fusion

By: Dayi Wang,Maodeng Li,Xiangyu Huang,Xiaowen Zhang

This book introduces readers to the fundamentals of estimation and dynamical system theory, and their applications in the field of multi-source information fused autonomous navigation for spacecraft. The content is divided into two parts: theory and application. The theory part (Part I) covers the mathematical background of navigation algorithm design, including parameter and state estimate methods, linear fusion, centralized and distributed fusion, observability analysis, Monte Carlo technology, and linear covariance analysis. In turn, the application part (Part II) focuses on autonomous navigation algorithm design for different phases of deep space missions, which involves multiple sensors, such as inertial measurement units, optical image sensors, and pulsar detectors. By concentrating on the relationships between estimation theory and autonomous navigation systems for spacecraft, the book bridges the gap between theory and practice. A wealth of helpful formulas and various types of estimators are also included to help readers grasp basic estimation concepts and offer them a ready-reference guide.

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Page Count

352

Publisher

Springer Nature

Published Date

ISBN 10

981154879X

ISBN 13

9789811548796

New Strategies for N-Heterocyclic Carbenes Catalyzed Annulations

By: Xiangyu Chen

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New Strategies for N-Heterocyclic Carbenes Catalyzed Annulations

By: Xiangyu Chen

This thesis focuses on NHC-catalyzed annulation of nitroalkenes, enals and α,β-unsaturated carboxylic acids. (1) NHCs were found to be efficient catalysts for the [4+2] annulation of β-substituted nitroalkenes. The scope of Rauhut–Currier reaction was successfully extended to the most challenging β-substituted alkenes by this method; (2) Enals were successfully used for [4+2] annulations with azodicarboxylates catalyzed by NHC via γ-addition. Highly enantiopure tetrahydropyridazinones and γ-amino acid derivatives could be easily prepared by subsequent transformations of the resulting dihydropyridazinones. (4) The readily available α,β-unsaturated carboxylic acids were first successfully employed to generate the α,β-unsaturated acyl azolium intermediates by using NHC for the enantioselective [3+2] and [3+3] annulations.

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Page Count

132

Publisher

Springer

Published Date

ISBN 10

9811028990

ISBN 13

9789811028991

Advanced Control Methodologies For Power Converter Systems

By: Wensheng Luo,Yunfei Yin,Xiangyu Shao,Jianxing Liu,Ligang Wu

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Advanced Control Methodologies For Power Converter Systems

By: Wensheng Luo,Yunfei Yin,Xiangyu Shao,Jianxing Liu,Ligang Wu

This book aims to present some advanced control methodologies for power converters. Power electronic converters have become indispensable devices for plenty of industrial applications over the last decades. Composed by controllable power switches, they can be controlled by effective strategies to achieve desirable transient response and steady-state performance, to ensure the stability, reliability and safety of the system. The most popular control strategy of power converters is the linear proportional–integral–derivative series control which is adopted as industry standard. However, when there exist parameter changes, nonlinearities and load disturbances in the system, the performance of the controller will be significantly degraded. To overcome this problem, many advanced control methodologies and techniques have been developed to improve the converter performance. This book presents the research work on some advanced control methodologies for several types of power converters, including three-phase two-level AC/DC power converter, three-phase NPC AC/DC power converter, and DC/DC buck converter. The effectiveness and advantage of the proposed control strategies are verified via simulations and experiments. The content of this book can be divided into two parts. The first part focuses on disturbance observer-based control methods for power converters under investigation. The second part investigates intelligent control methods. These methodologies provide a framework for controller design, observer design, stability and performance analysis for the considered power converter systems.

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Page Count

218

Publisher

Springer Nature

Published Date

ISBN 10

3030942899

ISBN 13

9783030942892

Sensing Vehicle Conditions for Detecting Driving Behaviors

By: Jiadi Yu,Yingying Chen,Xiangyu Xu

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Sensing Vehicle Conditions for Detecting Driving Behaviors

By: Jiadi Yu,Yingying Chen,Xiangyu Xu

This SpringerBrief begins by introducing the concept of smartphone sensing and summarizing the main tasks of applying smartphone sensing in vehicles. Chapter 2 describes the vehicle dynamics sensing model that exploits the raw data of motion sensors (i.e., accelerometer and gyroscope) to give the dynamic of vehicles, including stopping, turning, changing lanes, driving on uneven road, etc. Chapter 3 detects the abnormal driving behaviors based on sensing vehicle dynamics. Specifically, this brief proposes a machine learning-based fine-grained abnormal driving behavior detection and identification system, D3, to perform real-time high-accurate abnormal driving behaviors monitoring using the built-in motion sensors in smartphones. As more vehicles taking part in the transportation system in recent years, driving or taking vehicles have become an inseparable part of our daily life. However, increasing vehicles on the roads bring more traffic issues including crashes and congestions, which make it necessary to sense vehicle dynamics and detect driving behaviors for drivers. For example, sensing lane information of vehicles in real time can be assisted with the navigators to avoid unnecessary detours, and acquiring instant vehicle speed is desirable to many important vehicular applications. Moreover, if the driving behaviors of drivers, like inattentive and drunk driver, can be detected and warned in time, a large part of traffic accidents can be prevented. However, for sensing vehicle dynamics and detecting driving behaviors, traditional approaches are grounded on the built-in infrastructure in vehicles such as infrared sensors and radars, or additional hardware like EEG devices and alcohol sensors, which involves high cost. The authors illustrate that smartphone sensing technology, which involves sensors embedded in smartphones (including the accelerometer, gyroscope, speaker, microphone, etc.), can be applied in sensing vehicle dynamics and driving behaviors. Chapter 4 exploits the feasibility to recognize abnormal driving events of drivers at early stage. Specifically, the authors develop an Early Recognition system, ER, which recognize inattentive driving events at an early stage and alert drivers timely leveraging built-in audio devices on smartphones. An overview of the state-of-the-art research is presented in chapter 5. Finally, the conclusions and future directions are provided in Chapter 6.

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Springer

Published Date

ISBN 10

3319897705

ISBN 13

9783319897707

Sensing Vehicle Conditions for Detecting Driving Behaviors

By: Jiadi Yu,Yingying Chen,Xiangyu Xu

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Sensing Vehicle Conditions for Detecting Driving Behaviors

By: Jiadi Yu,Yingying Chen,Xiangyu Xu

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Springer

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ISBN 10

3319897705

ISBN 13

9783319897707

Book's by Xiangyu Xu

Principal Component Analysis Networks and Algorithms

Principal Component Analysis Networks and Algorithms

Micro- and Nano-Bionic Surfaces

Micro- and Nano-Bionic Surfaces

Spacecraft Autonomous Navigation Technologies Based on Multi-source Information Fusion

Spacecraft Autonomous Navigation Technologies Based on Multi-source Information Fusion

New Strategies for N-Heterocyclic Carbenes Catalyzed Annulations

New Strategies for N-Heterocyclic Carbenes Catalyzed Annulations

Advanced Control Methodologies For Power Converter Systems

Advanced Control Methodologies For Power Converter Systems

Sensing Vehicle Conditions for Detecting Driving Behaviors

Sensing Vehicle Conditions for Detecting Driving Behaviors

Sensing Vehicle Conditions for Detecting Driving Behaviors

Sensing Vehicle Conditions for Detecting Driving Behaviors

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