Journal
IEEE TRANSACTIONS ON CYBERNETICS
Volume 52, Issue 2, Pages 1335-1346Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2020.2997348
Keywords
Stochastic processes; Fault tolerance; Fault tolerant systems; Nonlinear systems; Switches; Fuzzy systems; Quantization (signal); Fault-tolerant control; interval type-2 (IT2) fuzzy; stochastic switched systems; time delay; uncertainties
Categories
Funding
- National Natural Science Foundation of China [61627809, 61433004, 61621004]
- Liaoning Revitalization Talents Program [XLYC1801005]
Ask authors/readers for more resources
This article solves the fault-tolerant control problem of uncertain time-delayed systems with signal quantization. It proposes an observer-based scheme that enhances the robust stability of the systems and can estimate incomplete measurable variables. The article also introduces a novel method for efficiently seeking the upper bound solution of time-varying delay, reducing conservativeness. The effectiveness of the design method is verified through simulated analysis.
This article devotes to solve the fault-tolerant control problem based on interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy stochastic switched uncertain time-delayed systems with signal quantization. Stochastic switched systems can model a dynamic structure susceptible to abrupt faults, making it more practically significant in power systems or economic systems. The core design is an observer-based fault-tolerant control scheme that can estimate incomplete measurable variables and eliminate the influence of fault dynamically well and enhancing the robust stability of the systems subject to quantization effects. A novel method in seeking the upper bound solution of time-varying delay efficiently decreases conservativeness, especially for the proposed time-delayed system. The simulated analysis is specified to verify the availability and validity of the obtained design method.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available