Robot trajectory tracking with adaptive RBFNN-based fuzzy sliding mode control

AG Ak, G Cansever, A Delibasi - Information Technology and Control, 2011 - itc.ktu.lt
Due to computational burden and dynamic uncertainty, the classical model-based control
approaches are hard to be implemented in the multivariable robotic systems. In this paper, a …
被引用次数：19 相关文章
[PDF] coventry.ac.uk

[PDF][PDF] Robot trajectory tracking with adaptive RBFNN-based fuzzy sliding mode control

GA Ak, G Cansever, A Delibasi - pure.coventry.ac.uk
Due to computational burden and dynamic uncertainty, the classical model-based control
approaches are hard to be implemented in the multivariable robotic systems. In this paper, a …
[PDF] academia.edu

[PDF][PDF] ROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-based FUZZY SLIDING MODE CONTROL

AG AK, G CANSEVER, A DELIBASI - academia.edu
Due to computational burden and dynamic uncertainty, the classical model-based control
approaches are hard to be implemented in the multivariable robotic systems. In this paper, a …

ROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-BASED FUZZY SLIDING MODE CONTROL

A AK - 2011 - openaccess.marmara.edu.tr
Due to computational burden and dynamic uncertainty, the classical model-based control
approaches are hard to be implemented in the multivariable robotic systems. In this paper, a …

Robot trajectory tracking with adaptive RBFNN-based fuzzy sliding mode control

GA Ak, G Cansever, A Delibasi - Information Technology …, 2011 - pureportal.coventry.ac.uk
Due to computational burden and dynamic uncertainty, the classical model-based control
approaches are hard to be implemented in the multivariable robotic systems. In this paper, a …
[PDF] archive.org

[PDF][PDF] ROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-based FUZZY SLIDING MODE CONTROL

AG AK, G CANSEVER, A DELIBASI - scholar.archive.org
Due to computational burden and dynamic uncertainty, the classical model-based control
approaches are hard to be implemented in the multivariable robotic systems. In this paper, a …

ROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-BASED FUZZY SLIDING MODE CONTROL

A Ak, G Cansever, A DELİBAŞI - … TECHNOLOGY AND CONTROL, 2011 - avesis.yildiz.edu.tr
Due to computational burden and dynamic uncertainty, the classical model-based control
approaches are hard to be implemented in the multivariable robotic systems. In this paper, a …
[PDF] researchgate.net

[PDF][PDF] ROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-based FUZZY SLIDING MODE CONTROL

AG AK, G CANSEVER, A DELIBASI - researchgate.net
Due to computational burden and dynamic uncertainty, the classical model-based control
approaches are hard to be implemented in the multivariable robotic systems. In this paper, a …
[PDF] ktu.lt

[PDF][PDF] ROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-BASED FUZZY SLIDING MODE CONTROL

AG Ak, G Cansever, A Delibasi - itc.ktu.lt
Due to computational burden and dynamic uncertainty, the classical model-based control
approaches are hard to be implemented in the multivariable robotic systems. In this paper, a …
[PDF] academia.edu

[PDF][PDF] ROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-based FUZZY SLIDING MODE CONTROL

AG AK, G CANSEVER, A DELIBASI - academia.edu
Due to computational burden and dynamic uncertainty, the classical model-based control
approaches are hard to be implemented in the multivariable robotic systems. In this paper, a …