Multi-model Jumping Systems: Robust Filtering and Fault Detection

Shuping He is Full Professor at Anhui University, Hefei, China. From 2010 to 2011, he was Visiting Scholar at the Control Systems Centre, School of Electrical and Electronic Engineering, University of Manchester, UK. From 2011 to 2013, he was Senior Lecturer at Anhui University, Hefei, China, before becoming Professor at the School of Electrical Engineering and Automation there. He was a recipient of the Outstanding Youth Funds Award of Anhui Province in 2016, and the Honor of Excellent Young Talents in the University of Anhui Province in 2017. He won the Anhui Province (Rank 1) Natural Science Second Prize in 2017. He is also IEEE Senior Member. His current research interests include control theory & control systems; systems modeling, methods & applications; signal processing and artificial intelligence. He has co-authored a book on stochastic systems and authored or co-authored over 100 papers in professional journals, conference proceedings and technical reports.  Xiaoli Luan is Full Professor at the School of Internet of Things Engineering Jiangnan University, Wuxi, China, since 2017. From 2010 to 2011, she was Visiting Scholar at the University of Victoria, Australia. She was a recipient of the National Excellent Youth Funds Award and the “six talent peaks” Award of Jiangsu Province. Her current research interests include complex dynamic system modeling, advanced control and optimization, industrial big data analysis and applications, data mining and machine learning. She has authored or co-authored over 60 papers in professional journals, conference proceedings and technical reports.

Introduction.- Robust Filtering.- Robust filtering for jumping systems.- Finite-time robust filtering for jumping systems.- Finite-frequency robust filtering for jumping systems.- Higher order moment robust filtering for jumping systems.- Fault Detection.- Robust fault detection for jumping systems.- Observer-based robust fault detection for fuzzy jumping systems.- Filtering-based robust fault detection of fuzzy jumping systems.- Neural network-based robust fault detection for nonlinear jumping systems.- Conclusion.