IEEE Conference on Decision and Control and European Control Conference 2011
DOI: 10.1109/cdc.2011.6161416
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M-MRAC for nonlinear systems with bounded disturbances

Abstract: Abstract-This paper presents design and performance analysis of a modified reference model MRAC (M-MRAC) architecture for a class of multi-input multi-output uncertain nonlinear systems in the presence of bounded disturbances. M-MRAC incorporates an error feedback in the reference model definition, which allows for fast adaptation without generating high frequency oscillations in the control signal, which closely follows the certainty equivalent control signal. The benefits of the method are demonstrated via a… Show more

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Cited by 30 publications
(34 citation statements)
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“…Then, it can be concluded from equation (16) that c determines the damping and γ determines the frequency of the signalη i (t). It follows from the results of [5], that choosing c ≥ 2 √ δ 1 γ damps the oscillations inη(t) and guarantees the bound…”
Section: Identification Modelmentioning
confidence: 81%
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“…Then, it can be concluded from equation (16) that c determines the damping and γ determines the frequency of the signalη i (t). It follows from the results of [5], that choosing c ≥ 2 √ δ 1 γ damps the oscillations inη(t) and guarantees the bound…”
Section: Identification Modelmentioning
confidence: 81%
“…Lemma 3.4: Let the estimatesx(t) andη(t) be generated by the identification model (4) and (5). In addition, let x(t) and u(t) be bounded.…”
Section: Identification Modelmentioning
confidence: 99%
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“…Since E(t) L∞ = a 0 − λ 0 , we obtain 1 − γ ψ 2 (t) L1 E(t) L∞ = 2λ 0 a −1 0 . Then, according to [8], it follows from the expression (24) that…”
Section: Lemma 42mentioning
confidence: 99%
“…An alternative method, which guarantees desired transient behavior of the closed-loop system, has been proposed in [8]. It is based on the modification of the reference model by the tracking error feedback, and is called modified reference model MRAC (M-MRAC).…”
Section: Introductionmentioning
confidence: 99%