Experimental Implementation of Adaptive-Critic Based Infinite Time Optimal Neurocontrol for a Heat Diffusion System
This document has been relocated to http://scholarsmine.mst.edu/mec_aereng_facwork/3426
There were 5 downloads as of 28 Jun 2016.
Abstract
Recently the synthesis methodology for the infinite time optimal neuro-controllers for PDE systems in the framework of adaptive-critic design has been developed. In this paper, first we model an experimental setup representing one dimensional heat diffusion problems. Then we synthesize and implement an adaptive-critic based neuro-controller for online temperature profile control of the experimental setup.
This paper has been withdrawn.
