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Short Paper: Identification by Recursive Least Squares with RMO Applied to a Robotic Manipulator
- Source :
- AI4I
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- The present work presents a hybrid identification of recursive least squares with a metaheuristic called radial movement optimization (RMO) applied to the joints of a cylindrical robotic manipulator. The main contribution of the research is to consider the covariance matrix with RMO. At the end a comparative analysis will be made with some classic methods. The results of the identifications were tested with the RMSE. A covariance matrix has also been generated from manipulator identifications.
- Subjects :
- Recursive least squares filter
0209 industrial biotechnology
Mean squared error
Computer science
Covariance matrix
Short paper
Robot manipulator
02 engineering and technology
Kalman filter
Identification (information)
020901 industrial engineering & automation
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Metaheuristic
Algorithm
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 Second International Conference on Artificial Intelligence for Industries (AI4I)
- Accession number :
- edsair.doi...........79d23ad49ad2f9296c1d652e7ecb08b1