Fuzzy Filter Design for ItÔ Stochastic Systems With Application to Sensor Fault Detection
By Ligang Wu, D.W.C. Ho. IEEE transactions on fuzzy systems, 2009
317 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Control and Systems Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/55753b73f3a4f23ba72808ad255d4ead5dbecb6d
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Citations in the corpus
- Fuzzy Adaptive Actuator Failure Compensation Control of Uncertain Stochastic Nonlinear Systems With Unmodeled Dynamics (2014, background): “It is thus necessary to develop a robust controller or a fault-tolerant control (FTC) scheme against actuator or sensor failures [27]–[34].”
- Reliable mixed passive and ℋ∞ filtering for semi‐Markov jump systems with randomly occurring uncertainties and sensor failures (2015, background): “Furthermore, some phenomena, such as communication delays, the disturbance, and actuators/sensors failures, are commonly encountered in the networked modern control systems [1, 18, 19].”
- A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches (2015, unknown): “[114], [115] and Markovian jumps [116].”
- Fault detection for linear stochastic systems with sensor stuck faults (2012, methodology): “Fault detection (FD) was considered in [7] for stochastic Itô fuzzy systems.”