A robust line search for learning control

被引:6
作者
Driessen, BJ
Sadegh, N
Kwok, KS
机构
[1] Sandia Natl Labs, Struct Dynam Dept, Albuquerque, NM 87185 USA
[2] Georgia Inst Technol, Dept Mech Engn, Atlanta, GA 30332 USA
[3] Sandia Natl Labs, Robot Ctr, Albuquerque, NM 87185 USA
关键词
D O I
10.1080/00207170010025285
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper a new line search for a Newton-Raphson learning control algorithm is presented. Theorems and rigorous proofs of its increased robustness over existing line searches are provided, and numerical examples are used to further validate the theorems.
引用
收藏
页码:732 / 736
页数:5
相关论文
共 11 条
[1]   BETTERING OPERATION OF ROBOTS BY LEARNING [J].
ARIMOTO, S ;
KAWAMURA, S ;
MIYAZAKI, F .
JOURNAL OF ROBOTIC SYSTEMS, 1984, 1 (02) :123-140
[2]  
Avrachenkov KE, 1998, IEEE DECIS CONTR P, P170, DOI 10.1109/CDC.1998.760615
[3]  
Bazaraa MokhtarS., 1979, Nonlinear Programming: Theory and Algorithms
[4]  
Cheah CC, 1996, J ROBOTIC SYST, V13, P141, DOI 10.1002/(SICI)1097-4563(199603)13:3<141::AID-ROB2>3.0.CO
[5]  
2-S
[6]  
Driessen BJ, 1998, IEEE DECIS CONTR P, P3888, DOI 10.1109/CDC.1998.761836
[7]  
GORINEVSKY D, 1995, PROCEEDINGS OF THE 1995 AMERICAN CONTROL CONFERENCE, VOLS 1-6, P862
[8]  
GORINEVSKY D, 1995, PROCEEDINGS OF THE 1995 AMERICAN CONTROL CONFERENCE, VOLS 1-6, P883
[9]  
GORINEVSKY D, 1994, 33 IEEE CDC LAK BUEN
[10]   LEARNING CONTROL OF ROBOT MANIPULATORS [J].
HOROWITZ, R .
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 1993, 115 (2B) :402-411