Output prediction under scarce data operation: Control applications

DOI10.1016/S0005-1098(99)00078-3zbMath0935.93058OpenAlexW2284499571MaRDI QIDQ1805980

Antonio Sala, Pedro Albertos, Roberto Sanchis

Publication date: 24 April 2000

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0005-1098(99)00078-3

zbMATH Keywords

parameter estimationstate estimationmissing dataoutput estimationunconventional sampling

Mathematics Subject Classification ID

Control/observation systems with incomplete information (93C41) Estimation and detection in stochastic control theory (93E10) Sampled-data control/observation systems (93C57)

Related Items (11)

Least-squares parameter estimation for systems with irregularly missing data ⋮ A retunable PID multi-rate controller for a networked control system ⋮ Design of robust output predictors under scarce measurements with time-varying delays ⋮ Maximum likelihood interval-varying recursive least squares identification for output-error autoregressive systems with scarce measurements ⋮ Parameter estimation with scarce measurements ⋮ Estimation in multisensor networked systems with scarce measurements and time varying delays ⋮ Kalman filter‐based adaptive control for networked systems with unknown parameters and randomly missing outputs ⋮ Kalman filter-based identification for systems with randomly missing measurements in a network environment ⋮ Extensions to ``Output prediction under scarce data operation: Control applications ⋮ Recursive identification under scarce measurements-convergence analysis ⋮ Computer control under time-varying sampling period: an LMI gridding approach

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