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A model‐based failure times identification for a system governed by a 2D parabolic partial differential equation
Mohamed Salim Bidou, Laetitia Perez, Sylvain Verron and Laurent Autrique IET Control Theory & Applications 18(9) 1163 (2024) https://doi.org/10.1049/cth2.12652
Quasi-online failure times identification of mobile heat sources in 2D geometry
Spatio‐temporal fault localization for nonlinear spatially distributed processes: A spatial mapping filter‐based framework
Yun Feng, Yaonan Wang, Jun‐Wei Wang, Han‐Xiong Li and Steven X. Ding International Journal of Robust and Nonlinear Control 31(14) 6953 (2021) https://doi.org/10.1002/rnc.5650
Abnormal Source Identification for Parabolic Distributed Parameter Systems
Recent Advances in Control Problems of Dynamical Systems and Networks
K. Mathiyalagan Studies in Systems, Decision and Control, Recent Advances in Control Problems of Dynamical Systems and Networks 301 147 (2021) https://doi.org/10.1007/978-3-030-49123-9_7
Dynamic Spatial-Independent-Component-Analysis-Based Abnormality Localization for Distributed Parameter Systems
Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1
K. Chandra Shekar, K. Venugopala Rao and Priti Chandra Smart Innovation, Systems and Technologies, Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1 83 30 (2018) https://doi.org/10.1007/978-3-319-63673-3_4
Iterative learning control for a class of parabolic system fault diagnosis
Adaptive techniques for the MRAC, adaptive parameter identification, and on‐line fault monitoring and accommodation for a class of positive real infinite dimensional systems
Michael A. Demetriou, Kazufumi Ito and Ralph C. Smith International Journal of Adaptive Control and Signal Processing 23(2) 193 (2009) https://doi.org/10.1002/acs.1058
Plantwide Fault Isolation Using Nonlinear Feedback Control
Benjamin J. Ohran, Johnny Rau, Panagiotis D. Christofides and James F. Davis Industrial & Engineering Chemistry Research 47(12) 4220 (2008) https://doi.org/10.1021/ie071548i
Robust detection and accommodation of incipient component and actuator faults in nonlinear distributed processes