Koeppl, H. (2009):
A Local Nonlinear Model for the Approximation and Identification of a Class of Systems.
In: IEEE Transactions on Circuits and Systems II: Express Briefs, 56 (4), pp. 315-319. [Article]
Abstract
The special form of the Laplace-domain Volterra kernels for linear-analytic systems is exploited to obtain an approximate model that obeys an appealingly simple feedforward block structure. It comprises a composition of the linearization and the multivariate nonlinear function of the original system. The model does not involve a truncation in the power series expansion nor in the memory depths and offers an economic parameterization. It is shown to be linearly identifiable in one step if <i>a</i> <i>priori</i> information about the linearized dynamics is provided. We present simulation results for a simple nonlinear circuit showing the validity of the model.
| Item Type: | Article |
|---|---|
| Erschienen: | 2009 |
| Creators: | Koeppl, H. |
| Title: | A Local Nonlinear Model for the Approximation and Identification of a Class of Systems |
| Language: | English |
| Abstract: | The special form of the Laplace-domain Volterra kernels for linear-analytic systems is exploited to obtain an approximate model that obeys an appealingly simple feedforward block structure. It comprises a composition of the linearization and the multivariate nonlinear function of the original system. The model does not involve a truncation in the power series expansion nor in the memory depths and offers an economic parameterization. It is shown to be linearly identifiable in one step if <i>a</i> <i>priori</i> information about the linearized dynamics is provided. We present simulation results for a simple nonlinear circuit showing the validity of the model. |
| Journal or Publication Title: | IEEE Transactions on Circuits and Systems II: Express Briefs |
| Journal volume: | 56 |
| Number: | 4 |
| Uncontrolled Keywords: | Nonlinear system,Volterra series,reduced order systems,system identification |
| Divisions: | 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems 18 Department of Electrical Engineering and Information Technology 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications |
| Date Deposited: | 04 Apr 2014 12:42 |
| Official URL: | http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=4801647 |
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