Constrained neural adaptive PID control for robot manipulators
The problem of designing an analytical gain tuning and stable PID controller for nonlinear robotic systems is a long-lasting open challenge. This problem becomes even more intricate if unknown system dynamics and external disturbances are involved. This paper presents a novel adaptive neural-based c...
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Published in | Journal of the Franklin Institute Vol. 357; no. 7; pp. 3907 - 3923 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Elmsford
Elsevier Ltd
01.05.2020
Elsevier Science Ltd |
Subjects | |
Online Access | Get full text |
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