• DocumentCode
    3569269
  • Title

    Automatic generation of electro-thermal models with TRAPPIST

  • Author

    De Jonghe, Dimitri ; Gielen, Georges ; Gillon, Renaud

  • Author_Institution
    ESAT-MICAS, KU Leuven, Leuven, Belgium
  • fYear
    2014
  • Firstpage
    842
  • Lastpage
    845
  • Abstract
    It has been shown that the transfer function trajectories (TFT) approach allows the automated extraction of compact behavioral models for analog and mixed-signal circuit blocks. The models consist in the concatenation of a multiple-input-multiple-output (MIMO) linear filtering stage and a nonlinear scheduling stage, ensuring a very broad coverage for the method. Models that are generated with the TRAPPIST method (TRajectory Approximation by the Identification of State-dependent Transfer functions) were shown capable of achieving adjustable error versus complexity trade-offs to reproduce the response of any arbitrary realization and to account for voltage variations and stochastical design parameters. In this paper, the TRAPPIST method is used to create an electro-thermal behavioral model of the circuit, by merging data from a (pure) thermal simulator and from standard iso-thermal circuit simulations. The resulting TFT model has an error below 2% and allows to alter the temperature dynamically during time-domain simulations.
  • Keywords
    circuit simulation; integrated circuit modelling; mixed analogue-digital integrated circuits; scheduling; transfer function matrices; MIMO linear filtering stage; TRAPPIST; analog circuit blocks; automatic generation; electro-thermal models; iso-thermal circuit simulations; mixed-signal circuit blocks; nonlinear scheduling stage; thermal simulator; transfer function trajectories; Approximation methods; Computational modeling; Integrated circuit modeling; Solid modeling; Thin film transistors; Trajectory; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems (ICECS), 2014 21st IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICECS.2014.7050117
  • Filename
    7050117