Stable Reduced Models for Nonlinear Descriptor Systems Through Piecewise-Linear Approximation and Projection
This paper presents theoretical and practical results concerning the stability of piecewise-linear (PWL) reduced models for the purposes of analog macromodeling. Results include proofs of input-output (I/O) stability for PWL approximations to certain classes of nonlinear descriptor systems, along wi...
| Үндсэн зохиолчид: | , |
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| Бусад зохиолчид: | |
| Формат: | Өгүүллэг |
| Хэл сонгох: | en_US |
| Хэвлэсэн: |
Institute of Electrical and Electronics Engineers
2010
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| Нөхцлүүд: | |
| Онлайн хандалт: | http://hdl.handle.net/1721.1/52359 https://orcid.org/0000-0002-5880-3151 |
| Тойм: | This paper presents theoretical and practical results concerning the stability of piecewise-linear (PWL) reduced models for the purposes of analog macromodeling. Results include proofs of input-output (I/O) stability for PWL approximations to certain classes of nonlinear descriptor systems, along with projection techniques that are guaranteed to preserve I/O stability in reduced-order PWL models. We also derive a new PWL formulation and introduce a new nonlinear projection, allowing us to extend our stability results to a broader class of nonlinear systems described by models containing nonlinear descriptor functions. Lastly, we present algorithms to compute efficiently the required stabilizing nonlinear left-projection matrix operators. |
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