Recursive identification of FIR systems with binary-valued outputs and communication channels

DOI10.1016/j.automatica.2015.06.030zbMath1331.93209OpenAlexW1036853436MaRDI QIDQ900213

Yao Yu, Jin Guo, Yanlong Zhao, Chang-Yin Sun

Publication date: 21 December 2015

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2015.06.030

zbMATH Keywords

convergencesystem identificationconvergence ratecommunication channelbinary-valued output

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12) White noise theory (60H40)

Related Items

Recursive least squares and multi-innovation stochastic gradient parameter estimation methods for signal modeling ⋮ Asymptotic efficiency and probabilistic error bound for maximum likelihood‐based identification of finite impulse response systems with binary‐valued observations and unreliable communications ⋮ Asymptotic consensus of multi-agent systems under binary-valued observations and observation uncertainty ⋮ Identification of FIR systems with binary-valued observations against denial-of-service attacks ⋮ Either-or communication-based identification of FIR systems with binary-valued observations and channel uncertainty ⋮ System identification with binary-valued output observations under either-or communication and data packet dropout ⋮ Expectation maximization identification algorithm for time-delay two-dimensional systems ⋮ Variational Bayesian approach for ARX systems with missing observations and varying time-delays ⋮ Global convergence of the EM algorithm for ARX models with uncertain communication channels

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