Use of approximate discrete-time models in filtering and regulation of continuous-time processes

DOI10.1080/00207178908953434zbMath0688.93059OpenAlexW1983811961MaRDI QIDQ4207854

S. Shats, Uri Shaked

Publication date: 1989

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207178908953434

zbMATH Keywords

time-dependent

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05) Sampled-data control/observation systems (93C57)

Related Items (1)

Fixed-order sampled-data estimation

Cites Work

• Unnamed Item
• Stochastic models, estimation, and control. Vol. 2,3
• Factorization methods for discrete sequential estimation
• Discrete-time estimation in continuous-time communication systems
• Sampling period sensitivity of the optimal sampled data linear regulator
• Discrete linear estimation for previous stage noise correlation
• Introduction to stochastic control theory
• Optimal discretization of continuous-time linear filter and linear regulator, and duality properties
• Exact discrete-time modelling of linear analogue systems
• On the behaviour of optimal linear sampled-data regulators†

This page was built for publication: Use of approximate discrete-time models in filtering and regulation of continuous-time processes