Neural controllers for nonlinear systems using output feedback

被引：0
|
作者：
ASEC Environmental Protection Company , Elmaady, Cairo, Egypt [1 ]
不详 [2 ]
不详 [3 ]
机构：
来源：
J Eng Appl Sci | 2006年 / 1卷 / 113-132期
关键词：
Algorithms - Feedback - Mathematical models - Vectors;
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学科分类号：
摘要：
In this paper, a neural controller is trained using the sign of the Jacobian for a certain class of nonlinear systems. A mathematical justification is developed to ensure the existence of a neural controller, which is fed by the output vector and its time derivatives according to a defined relative degree. Thus measuring the full states may be avoided. A training algorithm based on Marquardt-Levenberg algorithm is developed. The proposed technique has been applied to nonlinear systems to elaborate its efficiency.
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