Robust Filtering and Fault Detection of Switched Delay Systems (Lecture Notes in Control and Information Sciences, Band 445) - Softcover

Wang, Dong; Shi, Peng; Wang, Wei

Softcover

ISBN 10: 3642376843 ISBN 13: 9783642376849

Verlag: Springer, 2013

Inhaltsangabe

Switched delay systems appear in a wide field of applications including networked control systems, power systems, memristive systems. Though the large amount of ideas with respect to such systems have generated, until now, it still lacks a framework to focus on filter design and fault detection issues which are relevant to life safety and property loss. Beginning with the comprehensive coverage of the new developments in the analysis and control synthesis for switched delay systems, the monograph not only provides a systematic approach to designing the filter and detecting the fault of switched delay systems, but it also covers the model reduction issues.

Specific topics covered include:

(1) Arbitrary switching signal where delay-independent and delay-dependent conditions are presented by proposing a linearization technique.

(2) Average dwell time where a weighted Lyapunov function is come up with dealing with filter design and fault detection issues beside taking model reduction problems.

The monograph is intended for academic researchers and engineers in systems and control community who will discover of particular value in dealing with filter design and fault detection of switched system and time delay systems. In addition, it will be helpful and complementary reading for graduate students in such field.

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Über die Autorin bzw. den Autor

Dong Wang: Dong Wang is a professor in School of Information Sciences and Siebel School of Computing and Data Science (affiliated) at the University of Illinois at Urbana Champaign (UIUC). His research interests lie in social sensing and intelligence, human-centered AI, and big data analytics. Dong Wang has published over 200 technical papers in peer reviewed conferences and journals. His work has been applied in a wide range of real-world applications such as data reliability, social network analysis, disaster response, AI for science, and AI for social good. His research on social sensing and intelligence resulted in software tools that found applications in academia, industry, and government research labs. He also authored three books: "Social Intelligence" to be published by Springer in 2025, "Social Edge Computing" published by Springer in 2023, and "Social Sensing" published by Elsevier in 2015. He is the recipient of NSF CAREER Award, Google Faculty Research Award, ARO Young Investigator Program (YIP), the Best Paper Award of 2022 ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining (ASONAM), the Best Paper Award of 16th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) and the Best Paper Honorable Mention of 2025 ACM CHI and 8th IEEE SmartComp. He serves as an associate editor of IEEE Transactions on Big Data, Frontiers in Big Data, and Social Network and Analysis Journal (SNAM). He is also an IEEE Senior Member and ACM and AAAI Member. Lanyu Shang: Lanyu Shang is an assistant professor in Computer Science at the Loyola Marymount University. She earned her Ph.D. in information sciences from the University of Illinois Urbana-Champaign. Prior to this, she received an M.S. in Data Science from New York University and a B.S. in Applied Mathematics from the University of California, Los Angeles. Her research interest lies in human-centric AI, human-AI collaboration, social media analysis, AI for social good, and applied AI. Her work has been published in top venues in data mining and machine learning/AI, such as The WebConf, ICWSM, AAAI, IJCAI, and IEEE Big Data. She is also the recipient of the Best Paper Award at ACM/IEEE ASONAM 2022, the Best Paper Honorable Mention at IEEE SmartComp 2022, the Outstanding Graduate Student Teaching Award from the University of Notre Dame, and the N2Women Young Researcher Fellowship. Yang Zhang: Yang Zhang is an assistant professor in Computer Science and Software Engineering at the Miami University. Previously, he was a Postdoctoral Research Associate at UIUC and a W. J. Cody Research Associate at Argonne National Laboratory. Yang earned his Ph.D. in Computer Science & Engineering from the University of Notre Dame, an M.S. in Data Science from Indiana University Bloomington, and a B.S. in Software Engineering from Wuhan University. His research focuses on human-centered AI, human-AI collaboration, deep learning, and generative AI. He has authored over 80 peer-reviewed conference and journal papers published in top venues such as ACM CSCW, ACM Web Conference, AAAI, IJCAI, and IEEE BigData. His work has been recognized with prestigious honors, including the Outstanding Graduate Research Award from the University of Notre Dame and the W. J. Cody Research Associateship at Argonne National Laboratory.

Von der hinteren Coverseite

Switched delay systems appear in a wide field of applications including networked control systems, power systems, memristive systems. Though the large amount of ideas with respect to such systems have generated, until now, it still lacks a framework to focus on filter design and fault detection issues which are relevant to life safety and property loss. Beginning with the comprehensive coverage of the new developments in the analysis and control synthesis for switched delay systems, the monograph not only provides a systematic approach to designing the filter and detecting the fault of switched delay systems, but it also covers the model reduction issues.

Specific topics covered include:

(1) Arbitrary switching signal where delay-independent and delay-dependent conditions are presented by proposing a linearization technique.

(2) Average dwell time where a weighted Lyapunov function is come up with dealing with filter design and fault detection issues beside taking model reduction problems.

The monograph is intended for academic researchers and engineers in systems and control community who will discover of particular value in dealing with filter design and fault detection of switched system and time delay systems. In addition, it will be helpful and complementary reading for graduate students in such field.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2013
• Sprache: Englisch
• ISBN 10: 3642376843
• ISBN 13: 9783642376849
• Einband: Taschenbuch
• Anzahl der Seiten: 164
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland