Behavioral modeling of digital devices via composite local linear state-space relations

被引:9
|
作者
Stievano, Igor S. [1 ]
Siviero, Claudio [1 ]
Canavero, Flavio G. [1 ]
Maio, Ivan A. [1 ]
机构
[1] Politecn Torino, Dipartimento Elettron, I-10129 Turin, Italy
关键词
circuit modeling; digital ICs; electromagnetic compatibility (EMC); I/O ports; macromodeling; signal integrity; system identification;
D O I
10.1109/TIM.2008.925343
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper addresses the generation of accurate and efficient behavioral models of digital ICs. The proposed approach is based on the approximation of the device port characteristics by means of composite local linear state-space relations whose parameters can effectively be estimated from device port transient responses via well-established system identification techniques. The proposed models have been proven to overcome some inherent limitations of the state-of-the-art models used so far, and they can effectively be implemented in any commercial tool as Simulation Program with Integrated Circuit Emphasis (SPICE) subcircuits or VHDL-AMS hardware descriptions. A systematic study of the performances of the proposed state-space models is carried out on a synthetic test device. The effectiveness of the proposed approach has been demonstrated on a real application problem involving commercial devices and a data link of a mobile phone.
引用
收藏
页码:1757 / 1765
页数:9
相关论文
共 50 条
  • [1] Composite local-linear state-space models for the behavioral modeling off digital devices
    Stievano, I. S.
    Siviero, C.
    Canavero, F. G.
    Maio, I. A.
    [J]. 2007 IEEE INSTRUMENTATION & MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-5, 2007, : 508 - +
  • [2] MULTIVARIABLE LINEAR DIGITAL-CONTROL VIA STATE-SPACE OUTPUT MATCHING
    MILLER, DF
    [J]. OPTIMAL CONTROL APPLICATIONS & METHODS, 1985, 6 (01): : 13 - 29
  • [3] Identification of composite local linear state-space models using a projected gradient search
    Verdult, V
    Ljung, L
    Verhaegen, M
    [J]. INTERNATIONAL JOURNAL OF CONTROL, 2002, 75 (16-17) : 1385 - 1398
  • [4] CLASSIFICATION OF TRENDS VIA THE LINEAR STATE-SPACE MODEL
    GANTERT, C
    [J]. BIOMETRICAL JOURNAL, 1994, 36 (07) : 825 - 839
  • [5] Time domain digital state-space modeling of PWM converter
    Osadchij, A.L.
    Rogal, V.V.
    [J]. Technical Electrodynamics, 2012, (02): : 50 - 50
  • [6] STATE-SPACE MODELING OF TRANSMISSION-LINE DYNAMICS VIA NON-LINEAR OPTIMIZATION
    HAUER, JF
    [J]. IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1981, 100 (12): : 4918 - 4925
  • [7] State-Space based Linear Modeling for Human Activity Recognition in Smart Space
    Kabir, M. Humayun
    Thapa, Keshav
    Yang, Jae-Young
    Yang, Sung-Hyun
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2019, 25 (04): : 673 - 681
  • [8] Wave digital simulation of passive systems in linear state-space form
    Ochs, Karlheinz
    [J]. INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS, 2010, 23 (01) : 42 - 61
  • [9] Oscillation Parameter Estimation via State-Space Modeling of Synchrophasors
    Lee, Yonggu
    Lee, Gyul
    White, Austin
    Shin, Yong-June
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2024, 39 (03) : 5219 - 5228
  • [10] On the design of state-space digital filters
    Garcia-Ugalde, F.
    Psenicka, B.
    [J]. ISSPIT: 8TH IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, 2008, : 90 - 95