Get Adaptive systems in control and signal processing, 1989 : PDF

By Michael A Johnson; International Federation of Automatic Control

ISBN-10: 008035727X

ISBN-13: 9780080357270

The Symposium lined 3 significant components: adaptive keep watch over, identity and sign processing. In all 3, new advancements have been mentioned overlaying either theoretical and functions study. in the topic sector of adaptive regulate the dialogue concentrated round the demanding situations of sturdy keep an eye on layout to unmodelled dynamics, powerful parameter estimation and more advantageous functionality from the estimator, whereas the papers on id took the subject matter of it being a bridge among adaptive keep watch over and sign processing. the ultimate zone checked out points of sign processing: recursive estimation and adaptive filters.

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Extra info for Adaptive systems in control and signal processing, 1989 : selected papers from the 3rd IFAC Symposium, Glasgow, UK, 19-21 April 1989

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Multiply (1) by F: (AF)y(t) = q-k B(Fu(t)) + q-d(DF)w(t) + Cn(t). Since n(t) is a white stationary random sequence, Theorem 4 in Sternad and Soderstrom (1988) can be applied to this model structure. Thus, the signal Fu(t) is used instead of u(t) in regulator and criterion. AF is substituted for A and DF for D in all equations. The Theorem then follows. Remarks: Properties of the feedback: The variables in (6) and (7) have degrees (nx £ deg X etc. ) The solution can be generalized to multiple measurable dis­ turbances.

1 979). Discrete Linear Control. Wiley, Chichester. Kwakernaak, H. Sivan (1972). Linear Qptimal Control Systems. Wiley, New York. � ebek, M. (1983). Direct polynomial approach to discrete-time stochastic tracking. Problems of Control and Information Theory, 12, 293. Grimble (1988). LQG regulation with disturbance measurement feedforward. Int. J. Control, 47, 1505. 42 K. J. Hunt and M. Sebek Sternad, M. Soderstrom ( 1988). LQG­ optimal feedforward regulators. Automatica, 24, 557. Bongiorno (1976).

For low p, the regulators have large feed­ back gains at high frequencies, cf. Figure 6. ) The combina­ tion of large feedback gain and an incorrect model at high frequencies leads to instability. Figure 6. Transfer function magnitudes of feedback filters. (1): p = 0. 5. (3): p = 10. 5, with pole placement in Co. One way of reducing the high-frequency feedback gain is to modify the polynomial C(q- 1 ) used in (6)-(7) . 5q-1)2 was used. This decreased the feedback high-frequency gain (cf. (4) in Figure 6) .

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Adaptive systems in control and signal processing, 1989 : selected papers from the 3rd IFAC Symposium, Glasgow, UK, 19-21 April 1989 by Michael A Johnson; International Federation of Automatic Control


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