WCMAC-based control system design for nonlinear systems using

This paper presents a wavelet cerebellar model articulation controller (WCMAC) based adaptive control design for nonlinear systems using a particle swarm optimization (PSO). The WCMAC is the main tracking controller and a robust compensation controll

A practical experimental MLS model

An example of lighting compensation of reference white method

Block diagram of the proposed ATFCMACB control system

Nonlinear control systems - A brief overview of historical and recent advances

Frontiers Hybrid Neural Network Cerebellar Model Articulation Controller Design for Non-linear Dynamic Time-Varying Plants

A modified function-link fuzzy cerebellar model articulation controller using a PI-type learning algorithm for nonlinear system synchronization and control - ScienceDirect

Adaptive filter design for active noise cancellation using recurrent type-2 fuzzy brain emotional learning neural network

PDF] A universal U-model based control system design

Wavelet CMAC for MIMO uncertain nonlinear systems using a modified social ski‐driver algorithm - Lin - 2023 - Asian Journal of Control - Wiley Online Library

Wavelet CMAC for MIMO uncertain nonlinear systems using a modified social ski‐driver algorithm - Lin - 2023 - Asian Journal of Control - Wiley Online Library

H∞ tracking control for nonlinear multivariable systems using wavelet-type TSK fuzzy brain emotional learning with particle swarm optimization - ScienceDirect

Function-Link Fuzzy Cerebellar Model Articulation Controller Design for Nonlinear Chaotic Systems Using TOPSIS Multiple Attribute Decision-Making Method

Adaptive TOPSIS fuzzy CMAC back-stepping control system design for nonlinear systems

Self-Evolving Interval Type-2 Wavelet Cerebellar Model Articulation Control Design for Uncertain Nonlinear Systems Using PSO

WCMAC-based control system design for nonlinear systems using PSO - IOS Press