On using least-squares updates without regressor filtering in identification and adaptive control of nonlinear systems

DOI10.1016/J.AUTOMATICA.2008.09.024zbMath1168.93418DBLPjournals/automatica/Krstic09OpenAlexW1978513307WikidataQ59621813 ScholiaQ59621813MaRDI QIDQ2390565

Krstić, Miroslav

Publication date: 23 July 2009

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2008.09.024

zbMATH Keywords

system identificationadaptive controlleast-squares update law

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)

Related Items (7)

Distributed Adaptive Nonlinear Control with Fusion Least-Squares ⋮ Redesign of adaptive observers for improved parameter identification in nonlinear systems ⋮ An LMI framework for contraction-based nonlinear control design by derivatives of Gaussian process regression ⋮ Relaxed Excitation Conditions for Robust Identification and Adaptive Control Using Estimation with Memory ⋮ Composite learning control of robotic systems: a least squares modulated approach ⋮ A continuous-time framework for least squares parameter estimation ⋮ A new least squares parameter estimator for nonlinear regression equations with relaxed excitation conditions and forgetting factor

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