A Portrayal of Sliding Mode Control Through Adaptive Neuro Fuzzy Inference System With Optimization Perspective
Sliding mode control is a promising approach for designing controllers for systems with empirical characteristics.This is a favored nonlinear control strategy that effectively addresses the uncertainties present in derived mathematical models.To further enhance the stability of such systems, an Adaptive Neuro Fuzzy Inference System is employed by a