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Comparison of three methods of multivariable-system identification using p.r.b.s.

Comparison of three methods of multivariable-system identification using p.r.b.s.

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Three methods are used to identify the weighting function of two simulated second-order systems whose outputs are combined. The mean and r.m.s. errors between actual and calculated ordinates are found, and a comparison is made.

References

    1. 1)
      • H.R. Simpson . Sampled-data nonlinear filter. Proc. IEE.
    2. 2)
      • J.D.R. Kramer . On control of linear systems with time lags. Information and Control
    3. 3)
      • Dawkins, J., Briggs, P.A.N.: `A method of optimal process control using weighting functions as system description', Presented at SIT/IFAC Symposium on the theory of self-adaptive control systems, September 1965.
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