Name
Abstract | ||
|---|---|---|
In this paper, we consider the problem of adaptive stabilizing unknown nonlinear systems whose state is contaminated with external disturbances that act additively. A uniform ultimate boundedness property for the actual system state is guaranteed, as well as boundedness of all other signals in the closed loop. It is worth mentioning that the above properties are satisfied without the need of knowing a bound on the "optimal" weights, providing in this way higher degrees of autonomy to the control system. Thus, the present work can be seen as a first approach toward the development of practically autonomous systems. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/3477.764882 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS |
Keywords | Field | DocType |
measurement noise, neural networks, nonlinear systems, robust adaptive control | Mathematical optimization,Nonlinear system,Noise measurement,Computer science,Control theory,Computer errors,Autonomous system (Internet),Control system,Adaptive control,Robust control,Artificial neural network | Journal |
Volume | Issue | ISSN |
29 | 3 | 1083-4419 |
Citations | PageRank | References |
14 | 1.28 | 13 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| George A. Rovithakis | 1 | 749 | 45.73 |