Estimation and control with bounded data uncertainties

DOI10.1016/S0024-3795(98)10129-5zbMath0942.93013MaRDI QIDQ1124761

V. H. Nascimento, Shivkumar Chandrasekaran, Ali H. Sayed

Publication date: 28 November 1999

Published in: Linear Algebra and its Applications (Search for Journal in Brave)

zbMATH Keywords

estimationimage processingcontrol strategiesbounded data uncertaintiesleast-square designquadratic control design

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Control/observation systems with incomplete information (93C41) Design techniques (robust design, computer-aided design, etc.) (93B51) (H^infty)-control (93B36) Geometric methods (93B27)

Related Items (7)

Reduced-rank estimation for ill-conditioned stochastic linear model with high signal-to-noise ratio ⋮ Robust fractional order singular Kalman filter ⋮ Robust and stable predictive control with bounded uncertainties ⋮ Robust mean-squared error estimation of multiple signals in linear systems affected by model and noise uncertainties ⋮ Unnamed Item ⋮ Robust constrained receding-horizon predictive control via bounded data uncertainties ⋮ A uniqueness result concerning a robust regularized least-squares solution

Uses Software

• LAPACK
• VanHuffel

Cites Work

• An Analysis of the Total Least Squares Problem
• \(H^ \infty\) - optimal control and related minimax design problems. A dynamic game approach
• The complex structured singular value
• State-space solutions to standard H/sub 2/ and H/sub infinity / control problems
• A Technique for the Numerical Solution of Certain Integral Equations of the First Kind
• Filtering and smoothing in an H/sup infinity / setting
• Robust Solutions to Least-Squares Problems with Uncertain Data
• Parameter Estimation in the Presence of Bounded Data Uncertainties
• An Efficient Algorithm for a Bounded Errors-in-Variables Model
• Linear estimation in Krein spaces. I. Theory
• Extensions and Applications of the Householder Algorithm for Solving Linear Least Squares Problems
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