Non-stationary parameter estimation of continuous systems by the least squares method with variable forgetting factor
zbMATH Open0977.93085MaRDI QIDQ2745141
Publication date: 9 October 2001
Published in: Visnyk. Seriya: Fizyko-Matematychni Nauky. KyΓ―vs'kyΔ Universytet Imeni Tarasa Shevchenka (Search for Journal in Brave)
least squares methodlinear dynamical systemregression modelcontinuous time systemsbilinear dynamical systemvariable forgetting factortime-varying parameter estimationweighted residual integral
Nonlinear systems in control theory (93C10) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)
Related Items (1)
Recommendations
- Title not available (Why is that?) π π
- Title not available (Why is that?) π π
- Title not available (Why is that?) π π
- Title not available (Why is that?) π π
- Title not available (Why is that?) π π
- Recursive estimation of nonstationary parameters of bilinear dynamical systems by the least squares method with variable forgetting factor under nonclassical assumptions π π
- Recursive estimation of nonstationary parameters by the least squares method with variable forgetting factor under nonclassical assumptions π π
- Recursive estimation of nonstationary parameters of linear dynamical systems by the least squares method with variable forgetting factor under nonclassical assumptions π π
- Non-stationary parameter estimation by the least supares method with variable forgetting factor and minimal deviation norm from 'attraction' points for systems under non-classical assumptions. π π
- Performance bounds of forgetting factor least-squares algorithms for time-varying systems with finite measurement data π π
This page was built for publication: Non-stationary parameter estimation of continuous systems by the least squares method with variable forgetting factor
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q2745141)
