Name
Abstract | ||
|---|---|---|
In this work, a neural network control procedure is presented which performs discrete-time constrained optimal control of non-linear systems. Different neural network structures are tested, and different control error functions are used as network training error. Comparisons of the results are made for different structures and errors of the control network. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/IJCNN.2000.860788 | IJCNN (4) |
Keywords | Field | DocType |
Neural Networks,Constrained Optimal Control,Non-Linear Systems,different structure,optimal control,control network,non-linear system,different control error function,different neural network structure,neural network control procedure,network training error | Optimal control,Linear system,Computer science,Control theory,Automatic control,Probabilistic neural network,Time delay neural network,Artificial intelligence,Control system,Artificial neural network,Backpropagation,Machine learning | Conference |
Volume | ISSN | ISBN |
4 | 1098-7576 | 0-7695-0619-4 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eloy Irigoyen | 1 | 38 | 14.23 |
| J. B. Galván | 2 | 1 | 0.36 |
| Perez-Ilzarbe, M.J. | 3 | 14 | 1.41 |