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A test for the presence of pure feedback in multivariate dynamic stochastic systems

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Abstract

This paper describes a procedure for testing the presence of a pure feedback loop in a transfer function model for a multivariate discrete dynamic stochastic system. A modification of the portmanteau statistic based on sample cross-covariance matrices of the prewhitened series is proposed. The statistic is shown to be asymptotically distributed according to a % MathType!MTEF!2!1!+-% feaafeart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn% hiov2DGi1BTfMBaeXafv3ySLgzGmvETj2BSbqefm0B1jxALjhiov2D% aebbfv3ySLgzGueE0jxyaibaiiYdd9qrFfea0dXdf9vqai-hEir8Ve% ea0de9qq-hbrpepeea0db9q8as0-LqLs-Jirpepeea0-as0Fb9pgea% 0lrP0xe9Fve9Fve9qapdbaqaaeGacaGaaiaabeqaamaabaabcaGcba% Gaeq4Xdm2aaWbaaSqabeaacaaIYaaaaaaa!3E0C!\[\chi ^2 \]-distribution with certain degrees of freedom under some pure feedback assumptions. Some numerical results are given to show the behavior of the proposed method.

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References

  • Akaike, H. (1971). Autoregressive model fitting for control, Ann. Inst. Statist. Math. 23, 163–180.

    Google Scholar 

  • Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle, 2nd International Symposium on Information Theory, (eds. B. N., Petrov and F., Csáki), 267–281, Akadémiai Kiadó, Budapest.

    Google Scholar 

  • Anderson, B. D. O. and Gevers, M. R. (1982). Identifiability of linear stochastic systems operating under linear feedback, Automatica—J. IFAC, 18, 195–213.

    Google Scholar 

  • Box, G. E. P. and Jenkins, G. M. (1976). Time Series Analysis: Forecasting and Control, 2nd ed., Holden-Day, San Francisco.

    Google Scholar 

  • Box, G. E. P. and MacGregor, J. F. (1974). The analysis of closed-loop dynamic-stochastic systems, Technometrics, 16, 391–398.

    Google Scholar 

  • Box, G. E. P. and Pierce, D. A. (1970). Distribution of residual autocorrelations in autoregressive-integrated moving average time series models, J. Amer. Statist. Assoc., 65, 1509–1526.

    Google Scholar 

  • Caines, P. E. and Chan, C. W. (1975). Feedback between stationary stochastic processes, IEEE Trans. Automat. Control, 20, 498–508.

    Google Scholar 

  • Chitturi, R. V. (1976). Distribution of multivariate white noise autocorrelations, J. Amer. Statist. Assoc., 71, 223–226.

    Google Scholar 

  • Fuller, W. A. (1976). Introduction to Statistical Time Series, Wiley, New York.

    Google Scholar 

  • Gustavsson, I., Ljung, L. and Söderström, T. (1977). Identification of processes in closed loop—Identifiability and accuracy aspects, Automatica—J. IFAC, 13, 59–75.

    Google Scholar 

  • Hannan, E. J. (1969). The identification of vector mixed autoregressive-moving average systems, Biometrika, 56, 223–225.

    Google Scholar 

  • Hosking, J. R. M. (1980). The multivariate portmanteau statistic, J. Amer. Statist. Assoc., 75, 602–608.

    Google Scholar 

  • Hosoya, Y. and Taniguchi, M. (1982). A central limit theorem for stationary processes and the parameter estimation of linear processes, Ann. Statist., 10, 132–153.

    Google Scholar 

  • Ljung, L. (1987). System Identification: Theory for the User, Prentice-Hall, Englewood Cliffs, New Jersey.

    Google Scholar 

  • McLeod, A. I. (1978). On the distribution of residual autocorrelations in Box-Jenkins models, J. Roy. Statist. Soc. Ser. B, 40, 296–302.

    Google Scholar 

  • Phadke, M. S. and Wu, S. M. (1974). Identification of multiinput-multioutput transfer function and noise model of a blast furnace from closed-loop data, IEEE Trans. Automat. Control, 19, 944–951.

    Google Scholar 

  • Tee, L. H. and Wu, S. M. (1972). An application of stochastic and dynamic models for the control of a papermaking process. Technometrics, 14, 481–496.

    Google Scholar 

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Nakano, J., Tagami, S. A test for the presence of pure feedback in multivariate dynamic stochastic systems. Ann Inst Stat Math 41, 765–779 (1989). https://doi.org/10.1007/BF00057740

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  • DOI: https://doi.org/10.1007/BF00057740

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