System identification: theory for the user
System identification: theory for the user
Digital Control Systems
Brief paper: Dual-rate adaptive control
Automatica (Journal of IFAC)
Brief paper: Design of robust output predictors under scarce measurements with time-varying delays
Automatica (Journal of IFAC)
A retunable PID multi-rate controller for a networked control system
Information Sciences: an International Journal
Parameter estimation algorithms for missing-data systems
ACC'09 Proceedings of the 2009 conference on American Control Conference
Parameter estimation with scarce measurements
Automatica (Journal of IFAC)
PID controller design in networked control systems
ECC'11/ECME'11 Proceedings of the 2nd European conference of Control, and Proceedings of the 2nd European conference on Mechanical Engineering
Automatica (Journal of IFAC)
Brief Recursive identification under scarce measurements - convergence analysis
Automatica (Journal of IFAC)
Computer control under time-varying sampling period: An LMI gridding approach
Automatica (Journal of IFAC)
| Hi-index | 22.15 |
The problem of estimating the output in missing-data situations is addressed, in case a process model is present. A simple algorithm is presented that uses the input-output model (difference equation), replacing the unknown past values by estimates when necessary. It is compared to state-space approaches such as time-varying Kalman filtering. The analysis of its convergence is carried out for the particular case of dual-rate scarce sampling patterns. The effects of disturbances are also studied. The use of extended order models allows the design of the desired error dynamics. Applications such as parameter estimation and the control under scarce data operation are outlined.