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...

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Bibliographic Details
Main Authors: Bond, Bradley N. (Contributor), Daniel, Luca (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Research Laboratory of Electronics (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-03-05T20:48:15Z.
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Online Access:Get fulltext
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100 1 0 |a Bond, Bradley N.  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Research Laboratory of Electronics  |e contributor 
100 1 0 |a Daniel, Luca  |e contributor 
100 1 0 |a Bond, Bradley N.  |e contributor 
100 1 0 |a Daniel, Luca  |e contributor 
700 1 0 |a Daniel, Luca  |e author 
245 0 0 |a Stable Reduced Models for Nonlinear Descriptor Systems Through Piecewise-Linear Approximation and Projection 
260 |b Institute of Electrical and Electronics Engineers,   |c 2010-03-05T20:48:15Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/52359 
520 |a 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. 
520 |a Interconnect Focus Center 
546 |a en_US 
690 |a stability 
690 |a nonlinear systems 
690 |a model order reduction (MOR) 
690 |a Analog macromodeling 
655 7 |a Article 
773 |t IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems