By Professor I. D. Landau, Professor R. Lozano, Professor M. M’Saad (auth.)
Adaptive Control offers suggestions for computerized, real-time alterations in controller parameters so that it will attaining and/or keeping a fascinating point of procedure functionality within the presence of unknown or variable procedure parameters.
Many features of the sector are handled in coherent and orderly type, beginning with the issues posed by means of approach uncertainties and relocating directly to the presentation of suggestions and their sensible importance. in the basic context of modern advancements, the booklet appears at:
• synthesis and research of parameter version algorithms;
• recursive plant-model id in open and closed loop;
• strong electronic keep watch over for adaptive control;
• direct and oblique adaptive keep an eye on; and
• functional elements and applications.
To replicate the significance of electronic desktops for the applying of adaptive keep an eye on options, discrete-time features are emphasised. to steer the reader, the e-book comprises a number of purposes of adaptive regulate techniques.
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Extra resources for Adaptive Control
R»: (d = integer) wh ere 0 is an addit ional small time-d elay corresponding to the equivalent t imedelay of the industrial network and of the progr ammabl e cont roller used for pressure regul ation and d is the discr et e-time delay (inte ger) . A linearized di scr et e-time model can be identified . However , t he param et ers of t he model will dep end on t he dis tance between the air knives and the steel strip and on the spe ed V . In order to ass ure sa t isfac t ory performan ces for all regions of op er ation an "open-loop adaptat ion" te chnique has be en cons ider ed .
In t he sche me of F ig. 3, t he parameters of t he controller a re directly estimate d (adapted) by t he adaptation mech anism . In the sche me of Fi g. 6, the adaptati on mec hanism 1 t unes the parameters of a n adj ustable predi ctor a n d t hese pa ramet ers are t he n used to com pute t he controller parameters. However , in a number of ca ses, related to t he desir ed cont rol obj ectives and structure of t he pla nt model , by an a ppropriate pa ramet erizat ion of t he ad- 18 1. 7 : Indirect adaptive con tro l with closed loop adju stable predict ors, a) using input-output data filt ers, b) using closed loop predictors just able predictor (re-p arameterization) , the paramet er adaptat ion algorit hm of Fig.
On e repl aces: fj (t + j - 1) = f[y (t + j - 2) · · ·J, t hen fj (t + j - 2) = f [y(t + j - 3) · · ·] and so on . 40 2. D iscr et e T im e Sy st em Models for Control Regressor form Taking into acc ount the form of Eq. 48) where: eT = . [Ie( . . f~ F ' g1 ... gnB+j-1] ¢T (t ) = [y(t) · · ·y(t - n F) , u( t + j - d -1) · · · u (t + j - 2d - nB)] G j (q- 1) -- Ei- B * -- go + g1q- 1 .. 51) Stochastic Environment Input-Output Models In many practical sit uations, the det erministic input-output model given in Eq.