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Robustness of Discrete-Time Direct Adaptive Controllers - Centre ...

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1182 IEEE TRANSACTIONS ON AUTOMATIC COh'TROL. VOL. AC-30, NO. 12, DECEMBER 198514Lproved for invertible systems [I31 by showing that A8, E Oe2.Similar results were obtained in [25], [26].The introduction <strong>of</strong> the CI posteriori error representation [6],[ 1 I] allows a clear-cut interpretation <strong>of</strong> the stability pro<strong>of</strong>s, eitherLyapunov or Popov based, available in the literature. Due to thestructure <strong>of</strong> the integral PAA it is easy to_spow that in the matchedcase e; as given in (3.2) is equal to TO, i$-d, the a posteriorierror. Since the operator H,:e: + is passive (for aconstant gain matrix), even for unbounded +,,-direct application<strong>of</strong> the passivity theorem leads tcthe stability <strong>of</strong> 8 '41-d. The pro<strong>of</strong>is completed by showing that 8:&d + 0 impfies e, + 0 withbounded 4,. A similar procedure will be required below when wewill seek to prove stability <strong>of</strong> the adaptive scheme from thestability <strong>of</strong> the normalized signals.Remark 3.1: It can also be shown that when d > 1 aninterlaced version <strong>of</strong> (3.1) avoids the necessity <strong>of</strong> using theaugmented error in (3.2) since for that schemestudy the feedback interconnection is the conic sector stabilitytheorem [17] (see also [2]). It is required then to choose a PAAsuch that sector conditions may be established for the relationHI:e, --f $,.It will be shown below that to obtain +,-independent propertiesfor the PAA (see Remark 2.3) normalization <strong>of</strong> e, and 4, arecompulsory. In the following (:) will be used to denotenormalized variables and corresponding operators and aredefined as:2 p,-l'2+l-d, g, ~p,-"2e,; $ , = p;"'$, (3.0a)Hi- G * P, -l/2Hi,,1/2 .]; i= 1, 2. (3.0b)The normalization factor p, is introduced in Section V.To gain some insight into the problem <strong>of</strong> the selection <strong>of</strong> thePAA we will consider first the approaches and motivations <strong>of</strong> thematched case, that is when no ROM or BOD are present. A class<strong>of</strong> PAA for which suitable 110 properties have been established islater presented and its properties stated and proved.A. The Matched CaseMost adaptive schemes reported in the literature use an integralPAA <strong>of</strong> the form8,=8,-1+F,4,-de; (3.1)where F, is a time-varying matrix (the matrix gain) and e; is anestimate <strong>of</strong> the prediction error. The increasing complexity <strong>of</strong> thetreated cases required increasing information fed through e; intothe PAA. Therefore, the choice <strong>of</strong> e; may be thought <strong>of</strong> asreflecting the evolution <strong>of</strong> the adaptive control theory. It wasinitially taken equal to the tracking error to solve the unitary delaycase. Later it was shown that using this same error, a physicallyrealizable globally stab!e solution was still possible for = 2, byproper replacement <strong>of</strong> 8, by the multiplier operator PL(8,). I. Thislast modification was required to ensure the positive real condition<strong>of</strong> the error model. The ingenious inclusion <strong>of</strong> the augmentederror model allowed pro<strong>of</strong> <strong>of</strong> convergence <strong>of</strong> the tracking error bytakingB. PAA Sector ConditionsGiven our objective <strong>of</strong> uniform asymptotic stability we disregardproportional components in the PAA. In addition, gaindecreasing PAA are discarded to preserve the alertness <strong>of</strong> theadaptive scheme. Extrapolating from current usage we considerintegral interlaced PAA <strong>of</strong> the formwhere 5 takes one <strong>of</strong> the following forms.1) Constant gain (CG) PAA: 5 is a scalar5 2 f>O. (3.4a)2) Regularized least squares (RLS) PAA: 5 is a time-varyingmatrix5 2 F, (3 Ab)where (see [24] for further details)and X, < XI, X are strictly positive scalars.The eigenvalues <strong>of</strong> F, are all contained in the chosen interval[b, All.Equations (3.3) and (3.4) define an operator RI:P, + 6, (seeFig. 2). Besides this operator we will con_sider for th_e RLS/PAA,its exponentially weighted counterpart HY:Cp + $; where thesuperscript a denotesx; P a'X, : a>o.The I/O properties <strong>of</strong> the two operators are summarized in thefollowing lemma. Similar results were obtained earlier in [7],[ 141, [ 151, [24]. Notice that A;. = A, when a = 1.Lemma 3.1 (I/O Properties <strong>of</strong> the PAA):1) CG/PAA: If 5 is given by (3.4a), then+(cR YI-~T-I'#'I-~)/(~ +d':-dFrdl-d). (3.2)However, this new form <strong>of</strong> e; posed the new stability problem <strong>of</strong>ensuring boundedness <strong>of</strong> the auxiliary signal, which was laterfor all 6CG such that' This section's discussion, although restricted to discrete-time systems. isfurther simplified b] choosing the following structure for the operator:PL:Pr(!,) 2 qded- (see [13]) so that the operator retains the basic concepts<strong>of</strong> contmuous and hybrid schemes.2) RLS/PAA: If 3 is given by (3.4b). (3.4c), thenis outside CONE ( - 1, v'l - cRLS)Authorized licensed use limited to: ECOLE DES MINES PARIS. Downloaded on November 28, 2009 at 12:57 from IEEE Xplore. Restrictions apply.

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