Zhixun Ma's Books

Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning

By: Xin Zhang,Jinsong He,Hao Ma,Zhixun Ma,Xiaohai Ge

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Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning

By: Xin Zhang,Jinsong He,Hao Ma,Zhixun Ma,Xiaohai Ge

This book introduces a family of large-signal stability-based control methods for different power inverters (grid-connected inverter, standalone inverter, single-phase inverter, and three-phase inverter) in practical applications. Power inverters have stability issues, which include the inverter's own instability as well as the inverter's instability in relation to the other power electronic devices in the system (i.e., weak grid and the EMI filter). Most of the stability analyses and solutions are based on small-signal stability technology. Unfortunately, in actuality, the majority of practical instability concerns in power inverter systems are large-signal stability problems, which, when compared to small-signal stability problems, can cause substantial damage to electrical equipment. As a result, researchers must conduct a comprehensive investigation of the large-signal stability challenge and solutions for power inverters. This book can be used as a reference for researchers, power inverters manufacturers, and end-users. As a result, the book will not become obsolete in the near future, regardless of technology advancements.

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Page Count

175

Publisher

Springer Nature

Published Date

ISBN 10

9811971919

ISBN 13

9789811971914

Metal Clusters and Their Reactivity

By: Zhixun Luo,Shiv N. Khanna

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Metal Clusters and Their Reactivity

By: Zhixun Luo,Shiv N. Khanna

This book discusses current techniques and instrumentation for cluster chemistry. It addresses both the experimental and theoretical aspects of gas-phase metal cluster reactivities, especially those pertaining to pollution removal, energetic reactions and corrosion and anticorrosion. These metal cluster systems have attracted enormous interest as they display a completely new class of physical, chemical, electronic, magnetic and catalytic properties. As these properties change with size and composition, it can thus be understood how their nature evolves from atoms to bulk solids. The book offers readers a basic understanding of the structural chemistry and reactivity of metal clusters in both gas-phase and wet chemistry. Further, the lessons they learn here regarding metal cluster chemistry will prepare researchers for the study of condensed phase dynamics that pertain to wet chemical synthesis, soft-landing deposition and cluster assembly.

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Page Count

267

Publisher

Springer Nature

Published Date

ISBN 10

9811597049

ISBN 13

9789811597046

Mathematical Problems in Data Science

Theoretical and Practical Methods

By: Li M. Chen,Zhixun Su,Bo Jiang

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Mathematical Problems in Data Science

Theoretical and Practical Methods

By: Li M. Chen,Zhixun Su,Bo Jiang

This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learning methods. For unsolved problems such as incomplete data relation and reconstruction, the book includes possible solutions and both statistical and computational methods for data analysis. Initial chapters focus on exploring the properties of incomplete data sets and partial-connectedness among data points or data sets. Discussions also cover the completion problem of Netflix matrix; machine learning method on massive data sets; image segmentation and video search. This book introduces software tools for data science and Big Data such MapReduce, Hadoop, and Spark. This book contains three parts. The first part explores the fundamental tools of data science. It includes basic graph theoretical methods, statistical and AI methods for massive data sets. In second part, chapters focus on the procedural treatment of data science problems including machine learning methods, mathematical image and video processing, topological data analysis, and statistical methods. The final section provides case studies on special topics in variational learning, manifold learning, business and financial data rec overy, geometric search, and computing models. Mathematical Problems in Data Science is a valuable resource for researchers and professionals working in data science, information systems and networks. Advanced-level students studying computer science, electrical engineering and mathematics will also find the content helpful.

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Page Count

219

Publisher

Springer

Published Date

ISBN 10

3319251279

ISBN 13

9783319251271

High Temperature Miniature Specimen Test Methods

By: Wei Sun,Zhufeng Yue,Guoyan Zhou,Zhixun Wen,Ming Li

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High Temperature Miniature Specimen Test Methods

By: Wei Sun,Zhufeng Yue,Guoyan Zhou,Zhixun Wen,Ming Li

High Temperature Miniature Specimen Test Methods, for the first time in book format, focuses on a comprehensive and thorough introduction to a range of high temperature, miniaturized test methods at elevated temperatures which are used to obtain "bulk creep or fatigue properties from a small volume of material. Complicated mathematics and modelling are not involved. It is intended to be of use to a wide range of audience of engineers (e.g. designers, manufacturers, metallurgists, stress analysts), researchers (e.g. materials scientists) and students (undergraduate and postgraduate) in the field of high-temperature material and structural integrity assessment. Specific novel features of the book include 1] theoretical basis of each test method; 2], data interpretation method of each test method; and 3] specific application of each test method. - Provides the theoretical basis of each test method - Includes the data interpretation method of each test method - Presents specific applications and the limitations of each test method, along with opportunities for future developments

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Page Count

288

Publisher

Elsevier

Published Date

ISBN 10

0443218986

ISBN 13

9780443218989

Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning

By: Xin Zhang,Jinsong He,Hao Ma,Zhixun Ma,Xiaohai Ge

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Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning

By: Xin Zhang,Jinsong He,Hao Ma,Zhixun Ma,Xiaohai Ge

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

175

Publisher

Springer Nature

Published Date

ISBN 10

9811971919

ISBN 13

9789811971914

Book's by Zhixun Ma

Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning

Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning

Metal Clusters and Their Reactivity

Metal Clusters and Their Reactivity

Mathematical Problems in Data Science

Mathematical Problems in Data Science

High Temperature Miniature Specimen Test Methods

High Temperature Miniature Specimen Test Methods

Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning

Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning

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