Mathematical Model for Fault Handling of Singular Nonlinear Time-Varying Delay Systems Based on T-S Fuzzy Model
Abstract
:1. Introduction
- 1.
- The nonlinear dynamics is approached through a T-S fuzzy model, Laplace transform is adopted to tackle the TVD issue, and coordinate transformation is utilized to simplify the sensor fault handling challenge.
- 2.
- A novel fuzzy learning fault estimator is addressed to capture detailed fault information.
- 3.
- A fuzzy PI FTC scheme is introduced to mitigate the impact of fault on system performance to the maximum extent possible.
2. Model Description
3. Fault Estimation
4. Fault-Tolerant Control
5. Simulation and Discussion
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Cao, J.; Chen, H. Mathematical Model for Fault Handling of Singular Nonlinear Time-Varying Delay Systems Based on T-S Fuzzy Model. Mathematics 2023, 11, 2547. https://doi.org/10.3390/math11112547
Cao J, Chen H. Mathematical Model for Fault Handling of Singular Nonlinear Time-Varying Delay Systems Based on T-S Fuzzy Model. Mathematics. 2023; 11(11):2547. https://doi.org/10.3390/math11112547
Chicago/Turabian StyleCao, Jianing, and Hua Chen. 2023. "Mathematical Model for Fault Handling of Singular Nonlinear Time-Varying Delay Systems Based on T-S Fuzzy Model" Mathematics 11, no. 11: 2547. https://doi.org/10.3390/math11112547