PROTOTYPE OF ADAPTIVE CONTROL SYSTEM SOFTWARE USING PERCEPTRON LEARNING ALGORITHM

Abstract

This aims of this research is to build and to make performance test a software prototpe of adaptive control system with perceptron learning algorithm.

Needs analysis is performed to find an adaptive control system specifications are required, the result is a blue print software, after a modification of the learning algorithms are tailored to the programming language, the result is a flow chart design. Software implementation is based on the flow chart that was created by using a developed by research and development approach.

The results showed that th group data in the analytical calculations with research data from a running program at every step in iteration, there was no sognificant difference between the description of data in two research groups.

ub> 0{� sb`�5P8 ( =vacancy), lost the interlayer water by being heated up to 200^oC to produce a dehydrated phase, H_0.54 Ti_{1.865 0.135}O₄. Above 300^oC, the dehydrated phase completely transformed to TiO₂(B) and anatase was obtained as pure phase at 600^oC. The phase transformed as the following process: H_0.54Ti_{1.865 0.135}O₄ 0.5H₂O à H_0.54Ti_{1.865 0.135}O₄ 0.25H₂Oà H_0.54Ti_{1.865 0.135}O₄ à TiO₂(B) à TiO₂-anatase.