An estimation algorithm for multirate sampled digital control systems
- 1 October 1992
- journal article
- research article
- Published by Taylor & Francis in International Journal of Control
- Vol. 56 (4) , 813-830
- https://doi.org/10.1080/00207179208934345
Abstract
This paper presents an optimization-based algorithm for state estimation of multirate digital control systems. The algorithm features a predictor estimator structure and it is derived by employing a time invariant modelling approach to multirate systems. Special care is taken to ensure the causality of the derived estimation algorithm and to reduce the dimensionality inherent in multirate system modelling while maintaining a reasonably simple implementation. The proposed algorithm is developed to ensure convergence in state estimation between base sampling instants as well as between model rate sampling instants.Keywords
This publication has 9 references indexed in Scilit:
- A time invariant approach to multirate optimal regulator designInternational Journal of Control, 1991
- A new optimal multirate control of linear periodic and time-invariant systemsIEEE Transactions on Automatic Control, 1990
- Multirate digital control system designIEEE Transactions on Automatic Control, 1988
- Multivariable multirate sampled-data systems: State-space description, transfer characteristics, and Nyquist criterionIEEE Transactions on Automatic Control, 1986
- Robustness results in linear-quadratic Gaussian based multivariable control designsIEEE Transactions on Automatic Control, 1981
- An implementable digital adaptive flight controller designed using stablized single-stage algorithmsIEEE Transactions on Automatic Control, 1977
- Multirate sampled-data systems analysis via vector operatorsIEEE Transactions on Automatic Control, 1975
- Optimal linear regulators: The discrete-time caseIEEE Transactions on Automatic Control, 1971
- Input-output analysis of multirate feedback systemsIRE Transactions on Automatic Control, 1957