Name
Abstract | ||
|---|---|---|
As a continuation of their previous published results, in this paper the authors propose a new methodology, for input-to-state stabilization of a dynamic neural network. This approach is developed on the basis of the recent introduced inverse optimal control technique for nonlinear control. An example illustrates the applicability of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/TSMCA.2003.811509 | Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions |
Keywords | Field | DocType |
Lyapunov methods,neural nets,nonlinear control systems,optimal control,stability,Lyapunov analysis,dynamic neural network,inverse optimal control,nonlinear control,nonlinear systems,stability,stabilization | Mathematical optimization,Content-addressable memory,Optimal control,Nonlinear system,Nonlinear control,Control theory,Computer science,Continuation,Symmetric matrix,Exponential stability,Artificial neural network | Journal |
Volume | Issue | ISSN |
33 | 4 | 1083-4427 |
Citations | PageRank | References |
13 | 1.04 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sanchez, Edgar N. | 1 | 78 | 9.09 |
| José P. Pérez | 2 | 27 | 5.89 |