Name
Abstract | ||
|---|---|---|
In this paper, we are dealing with the problem of regulating unknown nonlinear dynamical systems. First a dynamical neural network identifier is employed to perform ‘black box’ identification and then a regular static feedback is developed to regulate the unknown system to zero. Not all the plant states are assumed to be available for measurement. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1007/BF01262964 | Journal of Intelligent and Robotic Systems |
Keywords | Field | DocType |
Adaptive regulation,nonlinear systems,dynamical neural networks | Black box (phreaking),Nonlinear system,Identifier,Control theory,Control engineering,Nonlinear dynamical systems,Dynamical systems theory,Engineering,Artificial neural network | Journal |
Volume | Issue | ISSN |
12 | 3 | 0921-0296 |
Citations | PageRank | References |
1 | 0.39 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| George A. Rovithakis | 1 | 749 | 45.73 |
| manolis a christodoulou | 2 | 461 | 59.94 |