An approach to perturbation compensation for variable structure systems
Automatica (Journal of IFAC)
Sliding-mode design for robust linear optimal control
Automatica (Journal of IFAC)
Design of a fuzzy logic controller as a suction controller
Fuzzy Sets and Systems
Fuzzy Control and Fuzzy Systems
Fuzzy Control and Fuzzy Systems
Fuzzy weighted averages revisited
Fuzzy Sets and Systems - Information processing
IEEE Transactions on Fuzzy Systems
Enhanced Karnik-Mendel algorithms
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Adaptive fuzzy sliding mode controller for linear systems with mismatched time-varying uncertainties
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Type-2 Self-Organizing Neural Fuzzy System and Its FPGA Implementation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems
IEEE Transactions on Fuzzy Systems
Supervisory recurrent fuzzy neural network control of wing rock for slender delta wings
IEEE Transactions on Fuzzy Systems
Aggregation Using the Fuzzy Weighted Average as Computed by the Karnik–Mendel Algorithms
IEEE Transactions on Fuzzy Systems
Gradual Numbers and Their Application to Fuzzy Interval Analysis
IEEE Transactions on Fuzzy Systems
On type-2 fuzzy relations and interval-valued type-2 fuzzy sets
Fuzzy Sets and Systems
Information Sciences: an International Journal
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Wing rock is a highly nonlinear phenomenon in which aircrafts with slender delta wings undergo limit cycle roll oscillations at high angles of attack. A simplified type-2 fuzzy sliding controller is designed for suppressing wing rock phenomena and tracking the desired trajectories. To reduce the computational complexity of a type-reducer, the end points of a type-reduced set are approximated by the outputs of two standard fuzzy sliding mechanisms in the proposed simplified type-2 fuzzy sliding controller. Furthermore, the sliding modes of the fuzzy sliding control system are guaranteed. Simulation results are included to show the effectiveness of the proposed simplified type-2 fuzzy sliding controller.