Fault Estimation for a Class of Discrete-Time Nonlinear Systems With Adaptive Fuzzy Observer
Abstract
This article develops a fault-estimation (FE) method for a class of discrete-time nonlinear systems subject to unknown nonlinearities, external disturbances, and actuator faults. In this work, an adaptive fuzzy observer is first designed for discrete-time systems to eliminate the effects of nonlinearities on the FE performance. Subsequently, the rank constraints of disturbance coefficient matrices in traditional discrete-time FE results are relaxed by decomposing the disturbances into virtual perturbations and states. Furthermore, an adaptive mechanism is introduced to reconstruct the states and faults without prior knowledge of unknown perturbations. Finally, the effectiveness of the proposed adaptive fuzzy FE method is validated through a circuit system example.
Fields of Study & Subjects
Fault Detection and Control Systems
Stability and Control of Uncertain Systems
Adaptive Control of Nonlinear Systems
Publication details
- Journal / source
- IEEE Transactions on Systems Man and Cybernetics Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 56
- Issue
- 2
- Pages
- 1179–1191
- Publication date
- 12 January 2026