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A Frequency-Domain Model-Order-Deduction Algorithm for Nonlinear Systems (1995)
| Content Provider | CiteSeerX |
|---|---|
| Author | Taylor, James H. Wilson, Bruce H. |
| Description | Several model-order deduction algorithms (modas) have been developed to coordinate the synthesis of lumped (finite-dimensional), linear system models, of accetable order, that accurately characterize the behavior of a system over a frequency range of interest (froi) [! min ; !max ]. The most recent of these techniques considers the frequency response of the model as the "performance metric" and systematically increases model complexity until the frequency response over a froi has converged to within a user-specifice tolerance. The linear moda algorithm based on frequency response is being extended to support the synthesis of models of nonlinear systems. This technique follows a procedure similar to the linear frequency-domain algorithm, but uses a describing-function approach to develop an amplitude-dependent characterization of the nonlinear system frequency response. The extended algorithm synthesizes models that are also of low order; in addition, they include only those nonlinear ... Proceedings of International Conference on Control Applications, IEEE |
| File Format | |
| Language | English |
| Publisher Date | 1995-01-01 |
| Access Restriction | Open |
| Subject Keyword | Low Order Frequency Range Describing-function Approach Linear System Model Frequency-domain Model-order-deduction Algorithm Model Complexity Linear Moda Algorithm Amplitude-dependent Characterization Performance Metric User-specifice Tolerance Accetable Order Extended Algorithm Nonlinear System Frequency Response Frequency Response Deduction Algorithm Linear Frequency-domain Algorithm Nonlinear System |
| Content Type | Text |
| Resource Type | Article |
