Fault Diagnosis and Fault Tolerant Control for Non-smooth and Nonlinear Systems
Applications in Robotics
- 1st Edition - March 1, 2027
- Latest edition
- Authors: Alexey Zhirabok, Oleg Sergiyenko, Alexander Zuev, Vladimir Filaretov
- Language: English
Faults in automated processes and plant will often cause undesired reactions leading to a shut-down, with damage to the plant/system, personnel or the environment. Fault-tolerant… Read more
Description
Description
Faults in automated processes and plant will often cause undesired reactions leading to a shut-down, with damage to the plant/system, personnel or the environment. Fault-tolerant control is the synonym for a set of recent techniques that were developed to increase plant availability and reduce the risk of safety hazards. The purpose of Fault Diagnosis and Fault Tolerant Control for Non-smooth and Nonlinear Systems: Applications in Robotics is to explain the approaches to problems and solutions in fault diagnosis, estimation, and fault tolerant control for nonlinear systems under the external disturbances described by dynamic models with non-smooth nonlinearities, and to develop algorithms solving these problems by methods more effective since the computational complexity point of view. In particular, the book examines applications in robotics.
Key features
Key features
- Examines the problems of fault diagnosis, estimation, and fault tolerant control for nonlinear systems and their applications in robots
- Includes new methods and algorithms of fault diagnosis, estimation, and fault tolerant control
- The book outlines a new approach to improving the reliability, safety and efficiency of robots with the use of new methods of technical diagnostics, which in real time should ensure the detection of emerging faults, as well as the determination of the values of the changing parameters of robots and errors in the reading of their sensors
Readership
Readership
Researchers in industry and the private sector interested in fault diagnosis, estimation, and fault tolerant control methods; as well as practitioners in all fields of the robotics, automotive and electric vehicles, avionics and aerospace sectors
Table of contents
Table of contents
1. The main models and methods
2. Reduced order submodel design
3. Functional observers
4. Fault detection and isolation
5. Interval observer design
6. Sliding mode observer design
7. Fault tolerant system design
8. Conclusion
Product details
Product details
- Edition: 1
- Latest edition
- Published: March 1, 2027
- Language: English
About the authors
About the authors
Alexey Zhirabok
Author
Professor Alexey Zhirabok received his M.S. degree from the Far Eastern Polytechnic University, Vladivostok, Russia, in 1970 and a PhD from the Leningrad Electrotechnic Institute, Russia, in 1978. He has been an author of 7 books, over 200 papers and holds 6 patents. His current research interests include nonlinear control theory with applications to fault diagnosis and fault tolerant control. Currently, he is a Professor of Automation and Robotics at the Far Eastern Federal University, Russia
Affiliations and expertise
Professor, Automation and Robotics, Far Eastern Federal University, Vladivostok, RussiaOleg Sergiyenko
Author
Professor Oleg Sergiyenko received B.S. and M.S. degrees from Kharkiv National University of Automobiles and Highways, Kharkiv, Ukraine, and a Ph.D. degree from Kharkiv National Polytechnic University. He has been a Guest Editor of several Special Issues of journals in the area of robotics and automation (such as ‘Measurement’ by Elsevier
Affiliations and expertise
Universidad Autonoma de Baja CaliforniaUniversidad Autonoma de Baja California, MexicoAlexander Zuev
Author
Aleksandr Zuev hold MS and PhD degrees. Dr. Zuev is a specialist in the field of adaptive control devices of complicated nonlinear systems of automatic control with unknown and variable parameters and in the field of fault-tolerant control systems. His research interests are mainly focused on intelligent industrial robots and underwater vehicles and other dynamic systems allowing automation of technical devices and technological processes. At present he is Associate professor of the Far Eastern Federal University and Head of the Laboratory of intelligent information systems for marine robots in the Institute of Marine Technology Problems, Russian Academy of Science
Affiliations and expertise
Head, Laboratory of intelligent information systems for marine robots in the Institute of Marine Technology Problems, Russian Academy of Science, Vladivostok, RussiaVladimir Filaretov
Author
Dr Vladimir Filaretov’s research interests include the adaptive and optimal control systems of complicated nonlinear systems and automatic control with unknown and variable parameters, the industrial and underwater robots and also other dynamic systems, allowing the automation of technical devices and technological processes. He is the author of ten books and book chapters
Affiliations and expertise
Far Eastern Branch of the Russian Academy of Sciences, Russia