Stable Reduced Models for Nonlinear Descriptor Systems Through Piecewise-Linear Approximation and Projection

被引:47
作者
Bond, Bradley N. [1 ]
Daniel, Luca [1 ]
机构
[1] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA
关键词
Stability analysis; Circuit stability; Lyapunov method; Thermal stability; Nonlinear systems; Computational modeling; stability; Analog macromodeling; model order reduction (MOR); nonlinear systems; ORDER REDUCTION;
D O I
10.1109/TCAD.2009.2030596
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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 inputoutput (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. © 2006 IEEE.
引用
收藏
页码:1467 / 1480
页数:14
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