Adaptive Interval Type-2 Fuzzy Neural Network Sliding Mode Control of Nonlinear Systems Using Improved Extended State Observer

An adaptive sliding mode control (ASMC) based on improved linear extended state observer (LESO) is proposed for nonlinear systems with unknown and uncertain dynamics. LESO designed to estimate total disturbance of the system, an interval type-2 fuzzy neural network (IT2FNN) used optimize approximate observe bandwidth LESO, parameter tuning realized gradient descent (GD) method. Based estimated by ASMC strategy ensure system stability. By adapting gain, observation performance compared can be better utilized, chattering reduced. Finally, some simulation results are given which show that has a good effect, strong practicability, wide versatility.