Name
Abstract | ||
|---|---|---|
There have been many algorithms proposed for adaptive control which will provide globally asymptotically stable controllers if some stringent conditions on the plant are met. The conditions on the plant cannot be met in practice as all plants will contain high frequency unmodeled dynamics. This paper uses a linearization analysis of a nonlinear adaptive controller to demonstrate analytically some design guidelines which alleviate some of the problems associated with adaptive control in the presence of unmodeled dynamics. The points made are further demonstrated by simulation results. |
Year | DOI | Venue |
|---|---|---|
1984 | 10.1016/0005-1098(84)90015-3 | Automatica |
Keywords | Field | DocType |
Adaptive control,adaptive systems,learning systems,model reference adaptive control,linearization techniques,nonlinear control systems,robust control | Control theory,Adaptive system,Control theory,Control engineering,Discrete time and continuous time,Adaptive control,Robust control,Discrete system,Mathematics,Linearization,Stability theory | Journal |
Volume | Issue | ISSN |
20 | 5 | 0005-1098 |
Citations | PageRank | References |
4 | 1.31 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. E. Rohrs | 1 | 157 | 17.69 |
| Michael Athans | 2 | 210 | 111.10 |
| lena valavani | 3 | 30 | 26.78 |
| g j stein | 4 | 4 | 1.31 |