LS-based parameter estimation of DARMA systems with uniformly quantized observations
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Publication:2165424
DOI10.1007/s11424-021-0314-yzbMath1495.93023OpenAlexW3190146571MaRDI QIDQ2165424
Publication date: 19 August 2022
Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11424-021-0314-y
System identification (93B30) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05)
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Cites Work
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- On identification of FIR systems having quantized output data
- Identification of linear systems without assuming stability and minimum phase
- Tracking and identification of regime-switching systems using binary sensors
- Credit scoring based on the set-valued identification method
- Recursive projection algorithm on FIR system identification with binary-valued observations
- On identifiability for multidimensional ARMAX model
- On self tuning regulators
- Convergence of self-tuning regulators under conditional heteroscedastic noises with unknown high-frequency gain
- Adaptive control via consistent estimation for deterministic systems
- Extended least squares and their applications to adaptive control and prediction in linear systems
- Convergence rate of least-squares identification and adaptive control for stochastic systems†
- Convergence rates of continuous-time stochastic ELS parameter estimation
- Quasi-least-squares identification and its strong consistency
- Performance analysis of the forgetting factor RLS algorithm
- System identification using binary sensors
- Least squares estimates in stochastic regression models with applications to identification and control of dynamic systems
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