Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis / Studies in Systems, Decision and Control Bd.467 (PDF)
The main market area of the...
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The main market area of the contributions include:
Advanced fault-tolerant control, control reconfiguration, health monitoring techniques for industrial systems, data-driven diagnosis methods, process supervision, diagnosis and control of discrete-event systems, maintenance and repair strategies, statistical methods for fault diagnosis, reliability and safety of industrial systems artificial intelligence methods for control and diagnosis, health-aware control design strategies, advanced control approaches, deep learning-based methods for control and diagnosis, reinforcement learning-based approaches for advanced control, diagnosis and prognosis techniques applied to industrial problems, Industry 4.0 as well as instrumentation and sensors.
Theseworks constitute advances in the aforementioned scientific fields and will be used by graduate as well as doctoral students along with established researchers to update themselves with the state of the art and recent advances in their respective fields. As the book includes several applicative studies with several multi-disciplinary contributions (deep learning, reinforcement learning, model-based/data-based control etc.), the book proves to be equally useful for the practitioners as well industrial professionals.
Józef Korbicz has been a full-rank professor of automatic control at the University of Zielona Góra, Poland, since 1994. In 2019, he was elected an ordinary member of the Polish Academy of Sciences (PAS). His current research interests include fault detection and isolation (FDI), control theory, and computational intelligence. He has published more than 380 scientific publications, authored or co-authored eight books, and co-edited seven books. It was confirmed, e.g., by offering him the prestigious position
Janusz Kacprzyk is a professor of Computer Science at the Systems Research Institute, Polish Academy of Sciences, WIT - Warsaw School of Information Technology, and Chongqing Three Gorges University, Wanzhou, Chongqing, China, and a professor of Automatic Control at PIAP - Industrial Institute of Automation and Measurements in Warsaw, Poland. He is an honorary foreign professor at the Department of Mathematics, Yli Normal University, Xinjiang, China. He is a full member of the Polish Academy of Sciences, a member of Academia Europaea, European Academy of Sciences and Arts, European Academy of Sciences, a foreign member of the: Bulgarian Academy of Sciences, Spanish Royal Academy of Economic and Financial Sciences (RACEF), Finnish Society of Sciences and Letters, Flemish Royal Academy of Belgium of Sciences and the Arts (KVAB), National Academy of Sciences of Ukraine and Lithuanian Academy of Sciences. He was awarded with six honorary doctorates. He is a fellow of IEEE, IET, IFSA, EurAI, IFIP, AAIA, I2CICC, and SMIA.
His main research interests include the use of modern computation computational and artificial intelligence tools, notably fuzzy logic, in systems science, decision making, optimization, control, data analysis and data mining, with applications in mobile robotics, systems modeling, ICT, etc.
He authored seven books, (co)edited more than 150 volumes, and (co)authored more than 650 papers, including ca. 150 in journals indexed by the WoS. He is listed in 2020 and 2021 "World's 2% Top Scientists" by Stanford University, Elsevier (Scopus), and ScieTech Strategies and published in PLOS Biology Journal.
He is the editor in chief of eight book series at Springer, and of two journals, and is on the editorial boards of ca. 40 journals. He is the president of the Polish Operational and Systems Research Society and the past president of International Fuzzy Systems Association.
- 2023, 1st ed. 2023, 365 Seiten, Englisch
- Herausgegeben: Didier Theilliol, Józef Korbicz, Janusz Kacprzyk
- Verlag: Springer International Publishing
- ISBN-10: 3031275403
- ISBN-13: 9783031275401
- Erscheinungsdatum: 13.06.2023
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- Dateiformat: PDF
- Größe: 11 MB
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