Nonlinear Continuous Dynamic System Identification by Automatic Localized Modeling
| Autor: | Tung-Yung Huang, C. James Li |
|---|---|
| Rok vydání: | 1997 |
| Předmět: |
Artificial neural network
Mechanical Engineering Numerical analysis System identification Dynamical system Finite element method Computer Science Applications Nonlinear system Control and Systems Engineering Mesh generation Radial basis function Instrumentation Algorithm Information Systems Mathematics |
| Zdroj: | Journal of Dynamic Systems, Measurement, and Control. 122:354-358 |
| ISSN: | 1528-9028 0022-0434 |
| DOI: | 10.1115/1.482471 |
| Popis: | This paper describes an automated localized modeling method to identify continuous nonlinear dynamic systems from their operating data. Using a method similar to finite element method’s automatic mesh generation, the input space is partitioned into overlapped regions that are small enough that a local model, such as a simple neural network, can approximate the data well in each region. Subsequently, adjacent regions are inspected to see if they can be represented well by a single local model to minimize the number of regions and local models needed to approximate a system. A nonlinear oscillator is used to test the proposed method, and the method was able to generate models that can simulate the system well. [S0022-0434(00)01902-X] |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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