Estimation-based adaptive backstepping designs for linear systems
Miroslav Krstić, P.V. Kokotović
Abstract
Miroslav Krstić, P.V. Kokotović
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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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