Application of system identification techniques to simulation model abstraction

被引:0
|
作者
Popken, DA [1 ]
机构
[1] Syst View, Highlands Ranch, CO 80126 USA
来源
ENABLING TECHNOLOGY FOR SIMULATION SCIENCE III | 1999年 / 3696卷
关键词
simulation; model abstraction; mixed resolution modeling; system identification; multimodeling;
D O I
10.1117/12.351199
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper describes preliminary research into the applicability of system identification techniques to simulation model abstraction Model abstraction enables the; construction of a valid low-resolution surrogate to a more detailed, high-resolution simulation model. When rapid approximate results will suffice, we can also apply system identification directly to actual system data, bypassing the simulation stage. Four non-traditional system identification techniques are discussed in relation to their ability to produce linear, time-invariant, state-space formulations of multivariable random systems. A simple example is provided in which one of the techniques, Hidden Markov Models, is used to identify the transition probabilities within a simulated Markov Chain The example is used to illustrate the challenges in general simulation model abstraction caused by model transformation procedures, problem size, uncertainty, and computational complexity. At this stage, we can sap that the application of systems identification to simulation model abstraction is promising, yet challenging.
引用
收藏
页码:76 / 87
页数:12
相关论文
共 50 条
  • [11] Quantum information theory for model abstraction techniques
    Quant, M
    Colburn, R
    ENABLING TECHNOLOGY FOR SIMULATION SCIENCE V, 2001, 4367 : 52 - 61
  • [12] AN EXHAUST SYSTEM LUMPED MODEL - IDENTIFICATION AND SIMULATION
    Lupea, Iulian
    ACTA TECHNICA NAPOCENSIS SERIES-APPLIED MATHEMATICS MECHANICS AND ENGINEERING, 2016, 59 (04): : 359 - 364
  • [13] Simplifying process model abstraction: Techniques for generating model names
    Leopold, Henrik
    Mendling, Jan
    Reijers, Hajo A.
    La Rosa, Marcello
    INFORMATION SYSTEMS, 2014, 39 : 134 - 151
  • [14] A comparative study on system identification techniques for NARX model
    Wei, S.
    Yi, Y. W.
    Peng, Z. K.
    2017 INTERNATIONAL CONFERENCE ON SENSING, DIAGNOSTICS, PROGNOSTICS, AND CONTROL (SDPC), 2017, : 585 - 590
  • [15] Environmental abstraction and path planning techniques for realistic crowd simulation
    Paris, Sebastien
    Donikian, Stephane
    Bonvalet, Nicolas
    COMPUTER ANIMATION AND VIRTUAL WORLDS, 2006, 17 (3-4) : 325 - 335
  • [16] Application of Model Driven Techniques for Agent-Based Simulation
    Fuentes-Fernandez, Ruben
    Galan, Jose M.
    Hassan, Samer
    Lopez-Paredes, Adolfo
    Pavon, Juan
    ADVANCES IN PRACTICAL APPLICATIONS OF AGENTS AND MULTIAGENT SYSTEMS, 2010, 70 : 81 - +
  • [17] APPLICATION OF MODEL-REDUCTION TECHNIQUES TO BUILDING ENERGY SIMULATION
    RABENSTEIN, R
    SOLAR ENERGY, 1994, 53 (03) : 289 - 299
  • [18] APPLICATION OF COMPUTER SIMULATION TECHNIQUES TO WATER SYSTEM ANALYSIS AND PLANNING
    HENNESSY, JJ
    UPHOFF, RL
    MECHANICAL ENGINEERING, 1970, 92 (06) : 78 - &
  • [19] APPLICATION OF DIGITAL SIMULATION TECHNIQUES TO A NATURAL GAS TRANSMISSION SYSTEM
    HALL, OP
    JOURNAL OF PETROLEUM TECHNOLOGY, 1969, 21 (SEP): : 1091 - &
  • [20] Application of system identification techniques to aircraft gas turbine engines
    Evans, C
    Fleming, PJ
    Hill, DC
    Norton, JP
    Pratt, I
    Rees, D
    Rodríquez-Vàzquez, K
    CONTROL ENGINEERING PRACTICE, 2001, 9 (02) : 135 - 148