A PORTRAYAL OF SLIDING MODE CONTROL THROUGH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM WITH OPTIMIZATION PERSPECTIVE

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

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Asymptotic solution to the isothermal nth order distributed activation energy model using the Rayleigh Distribution

This article focuses on the influence of relevant parameters of biomass pyrolysis on Mega Mug the numerical solution of the isothermal nth-order distributed activation energy model (DAEM) using the Rayleigh distribution as the initial distribution function F(E) of the activation energies.In this study, the integral upper limit, the frequency factor

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A Generic WebLab Control Tuning Experience Using the Ball and Beam Process and Multiobjective Optimization Approach

In control engineering education, the possibility of using a real control system in the learning process motivates professors to improve both students’ knowledge and skills, thus avoiding an approach only based on control theory.While considering that control engineering laboratories are expensive, mainly because educational plants should rep

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