On-line identification of parameters of a linear multivariable discrete- time system and their convergence characteristics
From MaRDI portal
Publication:1068781
DOI10.1016/0022-247X(85)90374-9zbMath0581.93062MaRDI QIDQ1068781
Publication date: 1985
Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)
algorithmconvergencelinear discrete-time multi-input multi-output nondynamic and dynamic systemssequential regression
Multivariable systems, multidimensional control systems (93C35) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05) Identification in stochastic control theory (93E12) Sequential estimation (62L12)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- On-line identification of parameters of a linear multivariable discrete- time system and their convergence characteristics
- Non-convergence of the approximate maximum likelihood identification algorithm
- System identification. A survey
- Estimation of parameters in a partially whitened representation of a stochastic process
- System Identification and the Principle of Random Contraction Mapping
- Sub-optimal solutions of linear control and eigenvalue pattern problems†
- Optimal simultaneous state estimation and parameter identification in linear discrete-time systems
This page was built for publication: On-line identification of parameters of a linear multivariable discrete- time system and their convergence characteristics