Aiming at the unknown uncertainty of an active power filter system in practical operation, combining advantages self-feedback structure, interval type-2 fuzzy neural network, and super-twisting sliding mode, adaptive mode control method network with recursive structure (IT2FNN-SFR STSMC) is proposed this paper. IT2FNN has uncertain membership function, which can enhance nonlinear ability robust...

this paper presents a new control scheme for a class of nonlinear systems. in the proposed method, an adaptive neural network observer with rise feedback controller are applied to realize sensorless control scheme. this observer is tuned online and no exact information of nonlinear term of plant is required. so, this characteristic can compensate mismodeling phenomena. also, a new controller ca...

This paper proposes a Hybrid Backstepping Super Twisting Algorithm for robust speed control of three-phase Induction Motor in the presence load torque uncertainties. First all, squirrel cage is modeled MATLAB/Simulink. then followed by design different non-linear controllers, such as sliding mode (SMC), super twisting SMC, and backstepping control. Furthermore, novel controller designed synergy...

This communique proposes a multivariable super-twisting sliding mode structure which represents an extension of the wellknown single input case. A Lyapunov approach is used to show finite time stability for the system in the presence of a class of uncertainty. This structure is used to create a sliding mode observer to detect and isolate faults for a satellite system.

Theorem 1 in the discussed paper is shown to be incorrect by means of a simple counterexample. The example shows that semi-implicit conditioned super-twisting algorithm does not admit general tuning rule for its parameter $\kappa _{1}$ ...