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Compact Modeling of Nonlinear Analog Circuits Using System Identification via Semidefinite Programming and Incremental Stability Certification

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8 Author(s)
Bradley N. Bond ; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA ; Zohaib Mahmood ; Yan Li ; Ranko Sredojevic
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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.

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IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  (Volume:29 ,  Issue: 8 )