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

DC–DC converters design using a type-2 wavelet fuzzy cerebellar model articulation controller

ECE 147C/ME 155C- Control Systems Design project

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

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

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

Nonlinear And Optimal Control Systems - By Thomas L Vincent & Walter J Grantham (hardcover) : Target

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

Nonlinear control of engineering systems : a Lyapunov-based approach : Dixon, Warren E., 1972- : Free Download, Borrow, and Streaming : Internet Archive

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

Intelligent fuzzy controller design for antilock braking systems - IOS Press