Optimal sensor placement for joint parameter and state estimation problems in large-scale dynamical systems with applications to thermo-mechanics

A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems

(2016) Alen Alexanderian et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

Sparsity-Promoting Sensor Selection for Non-Linear Measurement Models

(2015) Sundeep Prabhakar Chepuri et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Sequentially optimal sensor placement in thermoelastic models for real time applications

(2015) Roland Herzog et al.   OPTIMIZATION AND ENGINEERING

A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized $\ell_0$-Sparsification

(2014) Alen Alexanderian et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

Computing Optimal Experimental Designs via Interior Point Method

(2013) Zhaosong Lu et al.   SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS

A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic Inversion

(2013) Tan Bui-Thanh et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

Experimental design in the context of Tikhonov regularized inverse problems

(2013) L Tenorio et al.   STATISTICAL MODELLING

Analysis error covarianceversusposterior covariance in variational data assimilation

(2012) I. Yu. Gejadze et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

On Computation of the Design Function Gradient for the Sensor-Location Problem in Variational Data Assimilation

(2012) I. Yu. Gejadze et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

Numerical methods for A-optimal designs with a sparsity constraint for ill-posed inverse problems

(2011) Eldad Haber et al.   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Optimal experimental design for nonlinear ill-posed problems applied to gravity dams

(2011) Tom Lahmer   INVERSE PROBLEMS

Computation of the analysis error covariance in variational data assimilation problems with nonlinear dynamics

(2011) I.Yu. Gejadze et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Optimal sensor placement for structural health monitoring based on multiple optimization strategies

(2011) Ting-Hua Yi et al.   STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS

Monotonic convergence of a general algorithm for computing optimal designs

(2010) Yaming Yu   ANNALS OF STATISTICS

A real-time algorithm for moving horizon state and parameter estimation

(2010) Peter Kühl et al.   COMPUTERS & CHEMICAL ENGINEERING

Inverse problems: A Bayesian perspective

(2010) A. M. Stuart   ACTA NUMERICA

Numerical methods for the design of large-scale nonlinear discrete ill-posed inverse problems

(2009) E Haber et al.   INVERSE PROBLEMS

On optimal solution error covariances in variational data assimilation problems

(2009) I.Yu. Gejadze et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Efficient sensor placement for ocean measurements using low-dimensional concepts

(2009) B. Yildirim et al.   OCEAN MODELLING

Sensor Selection via Convex Optimization

(2008) S. Joshi et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Numerical methods for experimental design of large-scale linear ill-posed inverse problems

(2008) E Haber et al.   INVERSE PROBLEMS

Efficient moving horizon state and parameter estimation for SMB processes

(2008) Achim Küpper et al.   JOURNAL OF PROCESS CONTROL

On Analysis Error Covariances in Variational Data Assimilation

(2008) I. Yu. Gejadze et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING