Name
Abstract | ||
|---|---|---|
The problem of unbiased recursive identification of a plant model in closed-loop operation is considered. A particular form of an output error predictor for the closed loop is introduced. This allows one to derive a parameter estimation algorithm for the plant model that is globally asymptotically stable and asymptotically unbiased in the presence of noise. The paper presents a stability analysis in a deterministic environment and a convergence analysis in the stochastic environment. Both require a mild sufficient passivity condition to be satisfied. Simulations and real-time experiments on flexible transmission illustrate the performances of the proposed algorithm. (C) 1997 Elsevier Science Ltd. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1016/S0005-1098(96)00223-3 | Automatica |
Keywords | Field | DocType |
parameter estimation,satisfiability,dual problem,recursive algorithm,prediction error,stability analysis,feedback system,real time | Convergence (routing),Passivity,Parameter estimation algorithm,Mathematical optimization,Recursion (computer science),Control theory,Exponential stability,Estimation theory,Recursion,Mathematics,Stability theory | Journal |
Volume | Issue | ISSN |
33 | 5 | 0005-1098 |
Citations | PageRank | References |
17 | 2.90 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ioan Doré Landau | 1 | 199 | 26.10 |
| A. Karimi | 2 | 289 | 40.41 |