Download Adaptive systems in control and signal processing 1992 : by L Dugard; M MʼSaad; Yoan D Landau; International Federation PDF

By L Dugard; M MʼSaad; Yoan D Landau; International Federation of Automatic Control

Adaptive platforms stay a truly fascinating box of theoretical study, prolonged through methodological experiences and a growing number of purposes. The plenary papers, invited classes and contributed classes all in favour of many features of adaptive structures, equivalent to platforms identity and modelling, adaptive keep watch over of nonlinear platforms and theoretical matters in adaptive regulate. additionally coated have been methodological facets and purposes of adaptive regulate, clever tuning and adaptive sign processing.

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Read or Download Adaptive systems in control and signal processing 1992 : selected papers from the fourth IFAC symposium, Grenoble, France, 1-3 July 1992 PDF

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Extra info for Adaptive systems in control and signal processing 1992 : selected papers from the fourth IFAC symposium, Grenoble, France, 1-3 July 1992

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Wede. Robust control de­ sign circumventing linearization. A utomatica, in prepa­ ration. N. (1961). The problem of the most rapid de­ tection of a disturbance in a stationary process. Soviet Math. Dok/. 2, 795-799. Wahlberg, B. and L. Ljung ( 1991) . On estimation of trans­ fer function error bounds. 2. Hermes, Paris. pp. 1378-1383. Wittenmark, B. -0. llen (1991) . Identification and design for robust adaptive control. 2. Hermes, Paris. pp. 1390-1395. -0. Gutman and L. Neumann (1986). An algorithm for adaption of a robust controller to reduced plant uncertainty.

Ei,t (30) where K is an M-vector and T is an ( n , M)-matrix whose entries The prior part of the algorithm contains just one step ( i = l , . . , n) . -dependent set Let us summarize the whole procedure of approximation. e; (xt ) (29) with the coefficients f3j ,t deterniined by solving SUMMARY OF APPROXIMATION = 7= 1 f3j,O = 1 . with f3j,O > O, I: R-t Proof. g. Chentsov ( 1972 ) , Csiszar ( 1975 ) , D Jaynes ( 1979) , Grandy ( 1985 ) , Amari ( 1990 ) . ei,o (28) Proposition 2 (restricted maximum entropy estimation).

S R, R' , so the equations ( 14) choose from all possible deviations those which are acceptable for us. g. 's on e, to list only the simplest possibilities. where v• is now a set containing even some non-constant functions 9(8 ). We show that three natural requirements on the above relation determine the algebraic structure of v· completely. Requirements. 's R on X , (2) Bayes-compatible in the sense that Rr "" � implies Rt "" R� for T < t, (3) coarser than ( 10) in the sense that R := R! implies Lemma 1.

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