Compact Modeling of Nonlinear Analog Circuits using System Identification via Semi-Definite Programming and Robustness Certification

This paper presents a system identification technique for generating stable compact models of typical analog circuit blocks in radio frequency systems. The identification procedure is based on minimizing the model error over a given training data set subject to an incremental stability constraint, which is formulated as a semidefinite optimization problem. Numerical results are presented for several analog circuits, including a distributed power amplifier, as well as a MEM device. It is also shown that our dynamical models can accurately predict important circuit performance metrics, and may thus, be useful for design optimization of analog systems.United States. Defense Advanced Research Projects Agency (Grant N66001-09-1-2068)Interconnect Focus Center (United States. Defense Advanced Research Projects Agency and Semiconductor Research Corporation)Massachusetts Institute of Technology. Center for Integrated Circuits and System