Observer-Based Fault Detection for Nonlinear Systems With Sensor Fault and Limited Communication Capacity

By Hongyi Li, Yabin Gao, Peng Shi, Hak-Keung Lam. IEEE Transactions on Automatic Control, 2016

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Adaptive Sliding Mode Control for Interval Type-2 Fuzzy Systems (2016, methodology): “It is worth noting that based on the IT2 T–S fuzzy systems, some remarkable results have been reported, such as fuzzy output feedback control [21], [22], model reduction [23], filtering [24], and fault detection [25].”
Event-Triggered Fault Detection of Nonlinear Networked Systems (2017, neutral): “Many results have been developed based on the T–S fuzzy systems for fault diagnosis [21]–[23].”
A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes (2021, background): “System matrices are solved offline using dedicatedly designed excitation signals and the corresponding outputs and will remain unchanged at the online stage [53].”
Adaptive Fuzzy Control Design for Stochastic Nonlinear Switched Systems With Arbitrary Switchings and Unmodeled Dynamics (2017, background): “, n in system (1) cannot be available in the control design [43], we need to design a state observer to estimate the unmeasured states for system (1).”