Robust maximum likelihood estimation in the linear model
From MaRDI portal
Publication:5932273
DOI10.1016/S0005-1098(00)00189-8zbMath0983.93070MaRDI QIDQ5932273
Laurent M. El Ghaoui, Giuseppe Carlo Calafiore
Publication date: 7 May 2001
Published in: Automatica (Search for Journal in Brave)
Semidefinite programming (90C22) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)
Related Items (10)
A probabilistic framework for problems with real structured uncertainty in systems and control ⋮ A statistical minimax approach to optimizing linear models under a priori uncertainty conditions ⋮ Unnamed Item ⋮ A posteriori minimax estimation with likelihood constraints ⋮ Robust Maximum Likelihood Estimation ⋮ Robust Optimization of Sums of Piecewise Linear Functions with Application to Inventory Problems ⋮ Output feedback guaranteed cost control for uncertain discrete-time systems using linear matrix inequalities ⋮ Robust mean-squared error estimation of multiple signals in linear systems affected by model and noise uncertainties ⋮ Selected topics in robust convex optimization ⋮ Maximum likelihood based identification methods for rational models
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Component-wise perturbation analysis and error bounds for linear least squares solutions
- An LFT approach to parameter estimation
- Robustness in the presence of mixed parametric uncertainty and unmodeled dynamics
- Measurement-scheduled control for the RTAC problem: an LMI approach
- Robust Solutions to Uncertain Semidefinite Programs
- Robust Kalman filtering for uncertain discrete-time systems
- Linear Matrix Inequalities in System and Control Theory
- Robust Solutions to Least-Squares Problems with Uncertain Data
- Parameter Estimation in the Presence of Bounded Data Uncertainties
- Robust Statistics
- Handbook of semidefinite programming. Theory, algorithms, and applications
This page was built for publication: Robust maximum likelihood estimation in the linear model