Abstract | ||
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In this paper the problem of on-line identification and adaptive control of a Wiener type non-inear system is studied. First, a Wiener model is defined whose linear and non-linear parts are described using Laguerre and piecewise linear basis functions, respectively. Then, an adaptive identification algorithm for this model is presented. A local convergence analysis for the adaptive identification is performed. The model obtained is used to adapt the parameters of a controller designed for the specific structure of the model. The complete scheme is applied to a simulation of a pH neutralization reactor subject to several perturbations. The results show the improved behaviour of the proposed scheme compared with other approaches found in the literature. |
Year | DOI | Venue |
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2007 | 10.1080/00207170600977815 | INTERNATIONAL JOURNAL OF CONTROL |
Field | DocType | Volume |
Wiener process,Mathematical optimization,Control theory,Control theory,Nonlinear control,Basis function,Adaptive algorithm,Adaptive control,System identification,Piecewise linear function,Mathematics | Journal | 80 |
Issue | ISSN | Citations |
2 | 0020-7179 | 4 |
PageRank | References | Authors |
0.49 | 10 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
José Luis Figueroa | 1 | 69 | 8.03 |
J.E. Cousseau | 2 | 38 | 5.45 |
Stefan Werner | 3 | 1545 | 124.74 |
T. Laakso | 4 | 4 | 0.83 |