LEARNING RATE ALGORITHM FOR NEURAL-NET BASED DIRECT ADAPTIVE-CONTROL

被引：0
|
作者：
AHMED, MS
ANJUM, MF
机构：
来源：
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 1993年 / 18卷 / 04期
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D O I：
暂无
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
An algorithm to determine the learning rate for neural net based direct adaptive control is presented. The proposed learning rate ensures fast convergence of the adaptive controller and at the same time ensures local stability of the control system. The derivation is based upon error linearization in the weight space. The use of the proposed learning rate is demonstrated through application on direct self-tuning control of nonlinear plants. Simulation results are also presented to validate the theoretical findings.
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页码：493 / 513
页数：21
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