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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151494
Doc. No : ET23286
Main Entry : RASTKO RATKO SELMIC
Title Proper : NEUROCONTROL OF INDUSTRIAL MOTION SYSTEMS WITH ACTUATOR NONLINEARITIES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The past decade has witnessed a growing body of experimental work showing thatneural networks (NN) and fuPy logic systems can d t in improved performance incomplex feedback control problems. Since it is aIready well established that neural andfuPy systems are adept at solving pattern recognition problems, as well as at providingapproximate solutions to complex optimization problems, they are particularly suited forimproving performance in complex nonlinear systems in the presence of largeuncertainties. In applications such as VLSI circuit design and elsewhere, the requirements....-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46523.pdf
Title and statement of responsibility and : NEUROCONTROL OF INDUSTRIAL MOTION SYSTEMS WITH ACTUATOR NONLINEARITIES [Thesis]
 
 
 
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