Type I and type II fuzzy system modeling
Fuzzy Sets and Systems - Special issue on fuzzy modeling and dynamics
Adaptive Control
Digital Control of Dynamic Systems
Digital Control of Dynamic Systems
Control of Electrical Drives
Type 2 representation and reasoning for CWW
Fuzzy Sets and Systems - Special issue: Approximate Reasoning in Words
IEEE Transactions on Fuzzy Systems
Interval type-2 fuzzy logic systems: theory and design
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
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In this paper, a new control scheme is described for the robust speed control of electrical drives. The proposed control method is based on type-2 fuzzy logic and Sliding Mode Control (SMC) technique. In the design of the proposed controller, Reaching Law Control (RLC) approach---a SMC design method---is used. Takagi-Sugeno-Kang (TSK) fuzzy system and interval type-2 fuzzy sets are preferred due to their suitability for control applications. Non-singleton fuzzification is employed because of its effectiveness on uncertainties. The control performance is tested under inertial-frictional variations and external load torque disturbances. To show the effectiveness of the new control approach, simulation results of the SMC and type-2 fuzzy SMC (T2FSMC) systems are presented together.