A novel fault tolerance technique for recursive least squares minimization

1989 ◽  
Vol 1 (3) ◽  
pp. 181-188 ◽  
Author(s):  
Franklin T. Luk ◽  
Eric K. Torng ◽  
Cynthia J. Anfinson
Keyword(s):  
Fault Tolerance ◽  
Least Squares ◽  
Recursive Least Squares ◽  
Least Squares Minimization

The Fuzzy CMAC Based on RLS Algorithm

2013 ◽  
Vol 432 ◽  
pp. 478-482
Author(s):  
Hui Cheng
Keyword(s):  
Neural Network ◽  
Fault Tolerance ◽  
Complex Systems ◽  
Least Squares ◽  
Potential Application ◽  
Recursive Least Squares ◽  
Rls Algorithm ◽  
Generalization Ability ◽  
Fuzzy Cmac

In this paper, the structure of the fuzzy crebellar model articulation controller (FCMAC) neural network was discussed. The FCMAC can improve the accuracy of the CMAC. It also has excellent generalization ability and fault-tolerance ability. The recursive least squares (RLS) algorithm was introduced into the FCMAC. The FCMAC based on RLS algorithm has potential application prospect in the research of modeling and emulation on the complex systems.

scholarly journals Identification by Recursive Least Squares with Kalman Filter (RLS-KF) Applied to a Robotic Manipulator

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Darielson A. Souza ◽  
Josias G. Batista ◽  
Felipe J. S. Vasconcelos ◽  
Laurinda L. N. Dos Reis ◽  
Gabriel F. Machado ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Least Squares ◽  
Robotic Manipulator ◽  
Recursive Least Squares
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