On robustness to noise of least squares based adaptive control

DOI10.1016/0005-1098(87)90092-6zbMath0626.93035OpenAlexW2009544129MaRDI QIDQ581327

Jianyong Qiao, Sumit K. Garg

Publication date: 1987

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(87)90092-6

zbMATH Keywords

global stabilitybounded disturbancesunknown dynamicsadaptive predictive control schemesaugmented plantnormalized least squares estimationparameter adaptation stopping criterionself-tuning controllers

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Sensitivity (robustness) (93B35) Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Pole and zero placement problems (93B55) Sequential estimation (62L12)

Cites Work

• Unnamed Item
• Persistence of excitation in linear systems
• A universality advantage of stochastic excitation signals for adaptive control
• On self tuning regulators
• Persistence of excitation in extended least squares
• Convergence of adaptive minimum variance algorithms via weighting coefficient selection
• Stability of matrix polynomials†

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