Name
Abstract | ||
|---|---|---|
In this paper, adaptive neural networks (NNs) are employed in the event-triggered feedback control framework to enable a robot manipulator to track a predefined trajectory. In the proposed output feedback control scheme, the joint velocities of the robot manipulator are reconstructed using a nonlinear NN observer by using the joint position measurements. Two different configurations are proposed f... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TNNLS.2018.2870661 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Artificial neural networks,Observers,Manipulator dynamics,Torque,Robot sensing systems | Control theory,Torque,Pattern recognition,Computer science,Control theory,Lyapunov stability,Artificial intelligence,Control system,Adaptive control,Observer (quantum physics),Robot,Robotics | Journal |
Volume | Issue | ISSN |
30 | 6 | 2162-237X |
Citations | PageRank | References |
2 | 0.35 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vignesh Narayanan | 1 | 10 | 5.19 |
| Sarangapani Jagannathan | 2 | 1136 | 94.89 |
| Kannan Ramkumar | 3 | 2 | 0.69 |