Analysis for dynamic of analog circuits by using HSPN

  • Authors:
  • Meng Zhang;Shengbing Zhang;Deyuan Gao;Jing Wang

  • Affiliations:
  • Northwestern Polytechnical University, Xi'an, P.R.China;Northwestern Polytechnical University, Xi'an, P.R.China;Northwestern Polytechnical University, Xi'an, P.R.China;Northwestern Polytechnical University, Xi'an, P.R.China

  • Venue:
  • ICC'07 Proceedings of the 11th Conference on Proceedings of the 11th WSEAS International Conference on Circuits - Volume 11
  • Year:
  • 2007

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Abstract

Since the ability to describe dynamic in high level, Petri Nets has already been used extensively in logic circuits and systems community for state analysis. As others formal methods, extending Petri Nets to analog circuits analysis requires continuous feature enhanced. In this paper, the object of study is dynamic of circuits with random nonlinear feature (such as random noise and random interface) by using a Hybrid Statistical Petri Net (HSPN). A formal definition of hybrid Petri Net is derived from hybrid automata to model the dynamic of nonlinear analog circuits. Furthermore, we improve the hybrid Petri Net to abstract the statistical feature by enhancing the ability of describe random continuous transition. And a formal definition of the novel Hybrid Statistical Petri Net is presented. Within this HSPN, the fundamental method of analyzing the dynamic of random analog circuits is studied. A sample circuit with random noise illustrates this technique.