Name
Abstract | ||
|---|---|---|
This note considers the adaptive control of a class of nonlinear discrete time system with concave/convex parametrizations. The solutions involved two tuning functions which are determined by a minmax optimization approach much like the continuous time counterparts found in the literature. Direct extension from the continuous time case do not work very well due to the premature termination of the adaptive algorithm before zero tracking error can be achieved. In this note, this problem is solved. The proposed algorithm is shown to be stable and achieves zero tracking error in steady state. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/TAC.2003.813144 | IEEE Trans. Automat. Contr. |
Keywords | Field | DocType |
Adaptive control,Discrete time systems,Nonlinear control systems,Control systems,Stability,Minimax techniques,Convergence,Lyapunov method,Adaptive algorithm,Steady-state | Convergence (routing),Minimax,Mathematical optimization,Nonlinear system,Control theory,Adaptive algorithm,Steady state,Discrete time and continuous time,Adaptive control,Mathematics,Tracking error | Journal |
Volume | Issue | ISSN |
48 | 6 | 0018-9286 |
Citations | PageRank | References |
2 | 0.39 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. P. Loh | 1 | 56 | 6.33 |
| C. Y. Qu | 2 | 2 | 0.39 |
| K. F. Fong | 3 | 5 | 1.52 |