2002Unpublished venueRequires access

Estimation-based adaptive backstepping designs for linear systems

Miroslav Krstić, P.V. Kokotović

Open publisher page 5 citations

Abstract

The authors previously introduced a class of adaptive nonlinear controllers which abandon the certainty equivalence principle and employ the backstepping approach with tuning functions. In this paper the authors introduce estimation-based designs which use a linear backstepping controller combined with two types of identifiers-the passive identifier and the swapping identifier. The linear backstepping controller can guarantee stability and performance without adaptation. This is an advantage of the estimation-based designs in this paper over the traditional ones.

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What this paper is about

The authors previously introduced a class of adaptive nonlinear controllers which abandon the certainty equivalence principle and employ the backstepping approach with tuning functions. In this paper the authors introduce estimation-based designs which use a linear backstepping controller combined with two types of identifiers-the passive identifier and the swapping identifier. The linear backstepping controller can guarantee stability and performance without adaptation. This is an advantage of the estimation-based designs in this paper over the traditional ones.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The authors previously introduced a class of adaptive nonlinear controllers which abandon the certainty equivalence principle and employ the backstepping approach with tuning functions. In this paper the authors introduce estimation-based designs which use a linear backstepping controller combined with two types of identifiers-the passive identifier and the swapping identifier. The linear backstepping controller can guarantee stability and performance without adaptation. This is an advantage of the estimation-based designs in this paper over the traditional ones.

Key concepts: Backstepping, Identifier, Control theory (sociology), Computer science, Nonlinear system, Controller (irrigation), Stability (learning theory), Adaptive control

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