Gang Tao

Bin Jiang

Ruiyun Qi

This book provides readers with a systematic and unified framework for identification and adaptive control of Takagi–Sugeno (T–S) fuzzy systems. Its design techniques help readers applying these powerful tools to solve challenging nonlinear control problems. The book embodies a systematic study of fuzzy system identification and control problems, using T–S fuzzy system tools for both function approximation and feedback control of nonlinear systems. Alongside this framework, the book also: introduces basic concepts of fuzzy sets, logic and inference system; discusses important properties of T–S fuzzy systems; develops offline and online identification algorithms for T–S fuzzy systems; investigates the various controller structures and corresponding design conditions for adaptive control of continuous-time T–S fuzzy systems; develops adaptive control algorithms for discrete-time input–output form T–S fuzzy systems with much relaxed design conditions, and discrete-time state-space T–S fuzzy systems; and designs stable parameter-adaptation algorithms for both linearly and nonlinearly parameterized T–S fuzzy systems. The authors address adaptive fault compensation problems for T–S fuzzy systems subject to actuator faults. They cover a broad spectrum of related technical topics and to develop a substantial set of adaptive nonlinear system control tools. Fuzzy System Identification and Adaptive Control helps engineers in the mechanical, electrical and aerospace fields, to solve complex control design problems. The book can be used as a reference for researchers and academics in nonlinear, intelligent, adaptive and fault-tolerant control.

Fuzzy System Identification and Adaptive Control

Yuhua Xu

Kun Xu

Qihui Wu

Zhiyong Du

This book presents reinforcement learning (RL) based solutions for user-centric online network selection optimization. The main content can be divided into three parts. The first part (chapter 2 and 3) focuses on how to learning the best network when QoE is revealed beyond QoS under the framework of multi-armed bandit (MAB). The second part (chapter 4 and 5) focuses on how to meet dynamic user demand in complex and uncertain heterogeneous wireless networks under the framework of markov decision process (MDP). The third part (chapter 6 and 7) focuses on how to meet heterogeneous user demand for multiple users inlarge-scale networks under the framework of game theory. Efficient RL algorithms with practical constraints and considerations are proposed to optimize QoE for realizing intelligent online network selection for future mobile networks. This book is intended as a reference resource for researchers and designers in resource management of 5G networks and beyond.

A Reinforcement Learning Perspective

Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks

Hongtian Chen

Ningyun Lu

Wen Chen

This book addresses the needs of researchers and practitioners in the field of high-speed trains, especially those whose work involves safety and reliability issues in traction systems. It will appeal to researchers and graduate students at institutions of higher learning, research labs, and in the industrial R&D sector, catering to a readership from a broad range of disciplines including intelligent transportation, electrical engineering, mechanical engineering, chemical engineering, the biological sciences and engineering, economics, ecology, and the mathematical sciences.

Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains

Kevin Lu

Evidence-based Medicine to Inform Practice: Assessing Clinical Effectiveness and Economic Burden of Medicine

Peng Shi

Qikun Shen

This book provides recent theoretical developments in and practical applications of fault diagnosis and fault tolerant control for complex dynamical systems, including uncertain systems, linear and nonlinear systems. Combining adaptive control technique with other control methodologies, it investigates the problems of fault diagnosis and fault tolerant control for uncertain dynamic systems with or without time delay. As such, the book provides readers a solid understanding of fault diagnosis and fault tolerant control based on adaptive control technology. Given its depth and breadth, it is well suited for undergraduate and graduate courses on linear system theory, nonlinear system theory, fault diagnosis and fault tolerant control techniques. Further, it can be used as a reference source for academic research on fault diagnosis and fault tolerant control, and for postgraduates in the field of control theory and engineering.

Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach

Yafang Han

Qiang Zhang

Collection of selected, peer reviewed papers from the Chinese Materials Congress 2014 (CMC 2014), July 4-7, 2014, Chengdu, China. The 145 papers are grouped as follows: Symposium L: Metal Matrix and Ceramic Matrix Composites; Symposium M: High Temperature/Ultra-High Temperature Structural Materials, Surface and Coating Engineering; Symposium N: High Entropy Alloys and Special High Temperature Material; Symposium O: Advanced Magnesium Alloys and Application; Symposium P: Superalloys; Symposium Q: Powder Metallurgy; Symposium R: Steel

High Performance Structural Material

Xiaobai Yao

A Coming of Age: Geospatial Analysis and Modelling in the Early Twenty First Century Forty years ago when spatial analysis first emerged as a distinct theme within geography’s quantitative revolution, the focus was largely on consistent methods for measuring spatial correlation. The concept of spatial au- correlation took pride of place, mirroring concerns in time-series analysis about similar kinds of dependence known to distort the standard probability theory used to derive appropriate statistics. Early applications of spatial correlation tended to reflect geographical patterns expressed as points. The perspective taken on such analytical thinking was founded on induction, the search for pattern in data with a view to suggesting appropriate hypotheses which could subsequently be tested. In parallel but using very different techniques came the development of a more deductive style of analysis based on modelling and thence simulation. Here the focus was on translating prior theory into forms for generating testable predictions whose outcomes could be compared with observations about some system or phenomenon of interest. In the intervening years, spatial analysis has broadened to embrace both inductive and deductive approaches, often combining both in different mixes for the variety of problems to which it is now applied.

Geospatial Analysis and Modelling of Urban Structure and Dynamics

Igor Ivan

Jiří Horák

Tomáš Inspektor

James Haworth

Itzhak Benenson

The aim of the book is to present and discuss new methods, issues and challenges involved in geoinformatics’ contribution to making transportation more intelligent, efficient and human-friendly. It covers a wide range of topics related to transportation and geoinformatics. The themes are divided into four main sections: Transport modeling, Sensor data and services, Intelligent transport systems, and Transport planning and accessibility.

Geoinformatics for Intelligent Transportation

Fusheng Pan

Jingfeng Wang

Yaobo Hu

Suqin Luo

High Plasticity Magnesium Alloys focuses on the microstructure, mechanical properties and processing methods of magnesium alloy materials. The title offers theory and methods on high-plasticity magnesium alloys, including phase diagram construction, alloying and deformation. Four typical high-plasticity magnesium alloys are discussed through thermodynamic phase diagram construction and the characterization of their microstructure, mechanical properties and texture at as-cast, extruded, rolled and heat-treated states. Chapters update principle calculations for the effects of alloying elements, Mg-Gd-Zr medium strength and high-plasticity alloys, medium strength and high-plasticity Mg-Mn based alloys, medium strength and high-plasticity Mc-Sn based alloys, and Mg-Gd-Y-Zn-Mn high-strength and high-plasticity magnesium alloys. This book presents the plasticity of magnesium alloys, and guides the design and development of new high-strength and high-plasticity magnesium alloys. It provides detailed solutions for practicing industrial engineers. Presents in-depth theory and research methods on high-plasticity magnesium alloys Considers the microstructure, mechanical properties and processing methods of high-performance magnesium alloys Shows the first principles needed to calculate the effects of various alloying elements Introduces the development of magnesium alloys with relatively high plasticity Characterizes the plasticity of polycrystalline metallic materials Provides detailed solutions for industrial engineers who need to use high-performance magnesium alloys

High Plasticity Magnesium Alloys

Ke Zhang

Vincent Cocquempot

This book investigates observer-fault estimation techniques in detail, while also highlighting recent research and findings regarding fault estimation. Many practical control systems are subject to possible malfunctions, which may cause significant performance loss or even system instability. To improve the reliability, performance and safety of dynamical systems, fault diagnosis techniques are now receiving considerable attention, both in research and applications, and have been the subject of intensive investigations. Fault detection – the essential first step in fault diagnosis – is a binary decision-making process used to determine whether or not a fault has occurred. In turn, fault isolation is used to identify the location of the faulty component, while fault estimation is used to identify the size of the fault online. Compared with the problems involved in fault detection and isolation, fault estimation is considerably more challenging.

Observer-Based Fault Estimation Techniques

Hao Yang

This book provides readers a good understanding on how to achieve Fault Tolerant Control goal of Hybrid Systems. It presents important theoretical results as well as their applications.

Fault Tolerant Control Design for Hybrid Systems

Bin Jiang

About

Books

Join the club