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Abstract

In this introductory chapter we distinguish between the discrete time (discrete- time) and continuous time approaches. We point out situations where the latter are preferable by drawing attention to certain problems associated with the conventional shift operator, z. Some viable alternatives for a continuous-time treatment are given. This is followed by an outline of the contents and organization of the various contributions to this book.

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References

  • Agarwal, R.C. and Burrus,C.S. (1975), “New recursive digital filter structures having very low sensitivity and roundoff noise”, IEEE Trans. Circuits and Systems, Vol. CAS-22, pp. 921–927.

    Article  Google Scholar 

  • Äström, K.J., Hagander, P. and Sternby, J. (1984), “Zeros of sampled systems”, Automatica, Vol.20. pp. 31–38.

    Article  Google Scholar 

  • Bingulac, S. and Sinha, N.K. (1989), “On the identification of continuous time multivariable systems from samples of input-output data”, Proc. Seventh Int. Conf. on Mathematical and Computer Modelling, (Chicago, I11, August 1989), pp. 203–208.

    Google Scholar 

  • Edmunds, J.M. (1982), “Identifying sampled data systems using difference operator model”, Report UMIST, CSC-601, Manchester, U.K.

    Google Scholar 

  • Gawthrop, P.J. (1982), “A continuous time approach to self tuning control”, Optimal Control-Applications and Methods, Vol. 3, pp. 394–414.

    Google Scholar 

  • Gupta, S.C. (1966), “Transform and State Variable Analysis in Linear Algebra”, John Wiley and Sons, New York

    Google Scholar 

  • Harris, C.J. and Billings, S.A. (1981), “Self Tuning and Adaptive Control: Theory and Applications”, Peter Peregrinus, Stevenage, U.K.

    MATH  Google Scholar 

  • Mantey, P.E. (1968), “Eigenvalue sensitivity and state variable selection”, IEEE Trans. Auto. Control, Vol. AC-13, pp. 263–269.

    Article  Google Scholar 

  • Middleton, R.H. and Goodwin, G.C. (1986), “Improved finite word length characteristics in digital control using delta operator”, IEEE Trans. on Auto. Control, Vol. AC-31, pp. 1015–1021.

    Article  Google Scholar 

  • Orandi, G. and Martinelli, G. (1984), “Low sensitivity recursive digital filters obtained via delay replacement”, IEEE Trans. Circuits and Systems, Vol. CAS-31, pp. 654–657.

    Article  Google Scholar 

  • Patra, A. and Rao, G.P. (1989a), “General hybrid orthogonal functions and some potential applications in systems and control”, 1EE Proc, Part D., Vol. 136, pp. 157–163.

    MATH  Google Scholar 

  • Patra, A. and Rao, G.P. (1989b), “General hybrid orthogonal functions — A new tool for analysis of power electronic systems”, IEEE Trans. Ind. Elec., Vol. IE-36, pp. 413–424.

    Article  Google Scholar 

  • Patra, A. and Rao, G.P. (1989c), “Continuous time approach to self tuning control: Algorithm, implementation and assessment”, IEE Proc., Pt-D, Vol. 136, pp. 333–340.

    Google Scholar 

  • Puthenpura, S. and Sinha, N.K. (1985), “A procedure for determining the optimal sampling interval for system identification using a digital computer”, Can. Elec. Eng. J., Vol. 10, pp. 152–157.

    Google Scholar 

  • Rao, G.P. (1983), “Piecewise Constant Orthogonal Functions and Their Application to Systems and Control”, Springer Verlag, Berlin.

    Book  MATH  Google Scholar 

  • Sagara, S. and Zhao, Z.Y. (1987), “On-line identification of continuous systems using linear integral filter”, 19th JAACE Symp. on Stochastic systems theory and its applications, (Fukuoka, Japan), pp. 41–46.

    Google Scholar 

  • Saha, D.C. and Rao, G.P. (1983), “ Identification of Continuous Dynamical Systems: The Poisson Moment Functional (PMF) Approach”, Springer Verlag, Berlin.

    MATH  Google Scholar 

  • Sinha, N.K. and Lastman, G.J. (1982), “Identification of continuous time multivariable systems from sampled data”, Int. J. Control, Vol. 35, pp. 117–126.

    Article  MATH  Google Scholar 

  • Sinha, N.K. and Puthenpura, S. (1985), “Choice of sampling interval for the identification of continuous-time systems from samples of input output data”, IEE Proceedings, Pt.D., Vol. 132, pp. 263–267.

    MATH  Google Scholar 

  • Unbehauen, H. and Rao, G.P. (1987), “Identification of Continuous Systems”, North Holland, Amsterdam.

    MATH  Google Scholar 

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© 1991 Springer Science+Business Media Dordrecht

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Rao, G.P., Sinha, N.K. (1991). Continuous-time models and approaches. In: Sinha, N.K., Rao, G.P. (eds) Identification of Continuous-Time Systems. International Series on Microprocessor-Based Systems Engineering, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3558-0_1

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  • DOI: https://doi.org/10.1007/978-94-011-3558-0_1

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-5576-5

  • Online ISBN: 978-94-011-3558-0

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