Fault Estimation for Network Systems via Intermediate Estimator

Fault Estimation for Network Systems via Intermediate Estimator
Author: Jun-Wei Zhu
Publisher: Springer Nature
Total Pages: 191
Release: 2022-10-29
Genre: Technology & Engineering
ISBN: 9811963215

This book is concerned with the fault estimation problem for network systems. Firstly, to improve the existing adaptive fault estimation observer, a novel so-called intermediate estimator is proposed to identify the actuator or sensor faults in dynamic control systems with high accuracy and convergence speed. On this basis, by exploiting the properties of network systems such as multi-agent systems and large-scale interconnected systems, this book introduces the concept of distributed intermediate estimator; faults in different nodes can be estimated simultaneously; meanwhile, satisfactory consensus performances can be obtained via compensation based protocols. Finally, the characteristics of the new fault estimation methodology are verified and discussed by a series of experimental results on networked multi-axis motion control systems. This book can be used as a reference book for researcher and designer in the field of fault diagnosis and fault-tolerant control and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities.

Proceedings of 2020 Chinese Intelligent Systems Conference

Proceedings of 2020 Chinese Intelligent Systems Conference
Author: Yingmin Jia
Publisher: Springer Nature
Total Pages: 864
Release: 2020-09-23
Genre: Technology & Engineering
ISBN: 9811584508

The book focuses on new theoretical results and techniques in the field of intelligent systems and control. It provides in-depth studies on a number of major topics such as Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control Guidance, Navigation and Control of Flight Vehicles and so on. Given its scope, the book will benefit all researchers, engineers, and graduate students who want to learn about cutting-edge advances in intelligent systems, intelligent control, and artificial intelligence.

Tracking Control of Networked Systems via Sliding-Mode

Tracking Control of Networked Systems via Sliding-Mode
Author: Meng Li
Publisher: Springer Nature
Total Pages: 198
Release: 2021-10-29
Genre: Technology & Engineering
ISBN: 9811665141

The book focuses on the research methods of networked control systems via sliding mode. The problems with network disturbances, network induced delay, out-of-sequence and packet loss, and network attacks are studied in detail. The content studied in this book is introduced in detail and is verified by simulation or experiment. It is especially suitable for readers who are interested in learning the control scheme of networked systems. This book can benefit researchers, engineers, and students in related fields such as electrical, control, automation, and cyber security.

Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
Author: Marcin Mrugalski
Publisher: Springer
Total Pages: 196
Release: 2013-08-04
Genre: Technology & Engineering
ISBN: 3319015478

The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems. A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered. All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.

Advanced Solutions in Diagnostics and Fault Tolerant Control

Advanced Solutions in Diagnostics and Fault Tolerant Control
Author: Jan M. Kościelny
Publisher: Springer
Total Pages: 482
Release: 2017-07-28
Genre: Technology & Engineering
ISBN: 3319644742

This book highlights the latest achievements concerning the theory, methods and practice of fault diagnostics, fault tolerant systems and cyber safety. When considering the diagnostics of industrial processes and systems, increasingly important safety issues cannot be ignored. In this context, diagnostics plays a crucial role as a primary measure of the improvement of the overall system safety integrity level. Obtaining the desired diagnostic coverage or providing an appropriate level of inviolability of the integrity of a system is now practically inconceivable without the use of fault detection and isolation methods. Given the breadth and depth of its coverage, the book will be of interest to researchers faced with the challenge of designing technical and medical diagnosis systems, as well as junior researchers and students in the fields of automatic control, robotics, computer science and artificial intelligence.

Advanced Wireless Technologies for Industrial Network Systems

Advanced Wireless Technologies for Industrial Network Systems
Author: Ling Lyu
Publisher: Springer Nature
Total Pages: 210
Release: 2023-04-04
Genre: Technology & Engineering
ISBN: 3031269632

This book provides a comprehensive overview of wireless technologies for industrial network systems. The authors first describe the concept of industrial network systems and their application to industrial automation. They then go on to cover the role of sensing and control in industrial network systems, and the challenge of sensing and control in the industrial wireless environment. Then, the existing techniques for resource efficiency information transmission are introduced and studied. Afterward, the authors introduce sensing and control-oriented transmission for industrial network systems, which take advantage of spatial diversity gain to overcome the interference and fading, which in turn improves the transmission reliability without expending extra spectrum resources and enlarging the transmission delay. Subsequently, edge assisted efficient transmission schemes are introduced, which integrate the capacities of communication, computing, and control to relieve the contradiction of resource limitation and massive data. Finally, the authors discuss open research issues and future works about information transmission in industrial network systems.

Handbook of Research on Advanced Intelligent Control Engineering and Automation

Handbook of Research on Advanced Intelligent Control Engineering and Automation
Author: Azar, Ahmad Taher
Publisher: IGI Global
Total Pages: 826
Release: 2014-11-30
Genre: Technology & Engineering
ISBN: 1466672498

In industrial engineering and manufacturing, control of individual processes and systems is crucial to developing a quality final product. Rapid developments in technology are pioneering new techniques of research in control and automation with multi-disciplinary applications in electrical, electronic, chemical, mechanical, aerospace, and instrumentation engineering. The Handbook of Research on Advanced Intelligent Control Engineering and Automation presents the latest research into intelligent control technologies with the goal of advancing knowledge and applications in various domains. This text will serve as a reference book for scientists, engineers, and researchers, as it features many applications of new computational and mathematical tools for solving complicated problems of mathematical modeling, simulation, and control.

Advanced Information Processing in Automatic Control (AIPAC'89)

Advanced Information Processing in Automatic Control (AIPAC'89)
Author: R. Husson
Publisher: Elsevier
Total Pages: 573
Release: 2014-05-23
Genre: Technology & Engineering
ISBN: 1483294269

Information Processing is a key area of research and development and the symposium presented state-of-the-art reports on some of the areas which are of relevance in automatic control: fault diagnosis and system reliability. Papers also covered the role of expert systems and other knowledge based systems, which are needed, to cope with the vast quantities of data generated by large scale systems. This volume should be considered essential reading for anyone involved in this rapidly developing area.