Identification and adaptation with binary-valued observations under non-persistent excitation condition

DOI10.1016/j.automatica.2022.110158zbMath1485.93607arXiv2107.03588OpenAlexW3181955781MaRDI QIDQ2123231

Yanyan Li

Publication date: 8 April 2022

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2107.03588

zbMATH Keywords

identificationmartingalespersistent excitationadaptationbinary-valued observationquasi-Newton algorithm

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12) Stochastic learning and adaptive control (93E35)

Related Items (3)

Threshold selection and resource allocation for quantized identification ⋮ Identification of FIR systems with binary-valued observations against denial-of-service attacks ⋮ Estimation of IIR systems with binary-valued observations

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