Name
Abstract | ||
|---|---|---|
In this article, new nonlinear control techniques based on dynamic neural networks are presented. The authors discuss the implementation of a modified identification algorithm using dynamic neural networks as well as a control law, based on the neural identifier, which eliminates modeling error effects via sliding mode techniques. Simulation and real time results are presented for systems like an inverted pendulum and a full actuated robot manipulator |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/IJCNN.1999.832713 | IJCNN |
Keywords | Field | DocType |
adaptive control,identification,neurocontrollers,nonlinear control systems,pendulums,robot dynamics,tracking,variable structure systems,dynamic neural networks,inverted pendulum,neurocontrol,nonlinear control,robot manipulator,sliding mode method,trajectory tracking,error correction,nonlinear system,robots,model error,real time,nonlinear systems,adaptive systems,sliding mode control,trajectory,real time systems,neural networks | Inverted pendulum,Nonlinear system,Identifier,Computer science,Control theory,Nonlinear control,Adaptive control,Pendulum,Artificial neural network,Trajectory | Conference |
Volume | ISSN | ISBN |
3 | 1098-7576 | 0-7803-5529-6 |
Citations | PageRank | References |
2 | 0.45 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sanchez, Edgar N. | 1 | 78 | 9.09 |
| Bernal, M.A. | 2 | 2 | 0.45 |