Diagnosis and Fault-Tolerant Control
By M. Blanke, Michel Kinnaert, J. Lunze, Marcel Staroswiecki, J. Schröder. IEEE Transactions on Automatic Control, 2004
1,892 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/f2f7b171dafa8cf900bd9d1581908556c3c29332
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In Control and Systems Engineering
Citations in the corpus
- Fault Reconstruction for Lipschitz Nonlinear Descriptor Systems via Linear Matrix Inequality Approach (2008, background): “During the past several decades, numerous results have been reported, particularly for state-space dynamical systems; for instance, see [ 2 , 4, 6, 7] and the references therein.”
- Perspectives of fuzzy systems and control (2005, background): “The reader is referred to [14] [5] and references therein for details.”
- Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation (2010, background): “As is well known in the fault diagnosis literature (Blanke et al., 2006; Chen & Patton, 1999; Frank, 1990; Gertler, 1998; Isermann, 2006), there is an inherent tradeoff between robustness and fault sensitivity.”
- Distributed Attack Detection and Secure Estimation of Networked Cyber-Physical Systems Against False Data Injection Attacks and Jamming Attacks (2018, background): “The third category is based on estimation residuals and is inspired by the existing fault diagnosis/tolerance literature [21]–[24].”
- A new strategy for integration of fault estimation within fault-tolerant control (2016, neutral): “All rights reserved. has modelling uncertainty (Blanke et al., 2006; Davoodi, Meskin, & Khorasani, 2014a,b; Davoodi, Talebi, & Momeni, 2011; Henry & Zolghadri, 2005; Khosrowjerdi, Nikoukhah, & Safari-Shad, 2004; Kilsgaard, Rank, Niemann, & Stoustrup, 1996; Nett, Jacobson, & Miller, 1988; Niemann &…”
- Reset-free Trial-and-Error Learning for Robot Damage Recovery (2016, methodology): “g controller like in [22], [23], [8]). B. Fault Tolerance and Recovery in Robotics Classic approaches to fault tolerance rely on updating the model of the robot, either directly with a self-diagnosis [25], or indirectly with machine learning [26], [5]; the model is then used for planning and/or cont”
- Fuzzy-Model-Based Reliable Static Output Feedback $\mathscr{H}_{\infty }$ Control of Nonlinear Hyperbolic PDE Systems (2016, background): “On the other hand, it is noted that failures of control components often occur in practical engineering systems, and the study on reliable control problem for dynamical systems has attracted considerable attention [35]–[37].”