Optimal experimental design for linear time invariant state-space models
type: Item
instance of: scholarly article
title: Optimal experimental design for linear time invariant state-space models
zbMATH Open document ID: 1475.62028
author: Anthony C. Atkinson
author: Nuno M. C. Oliveira
author: Belmiro P. M. Duarte
published in: Statistics and Computing
publication date: 2021-12-09T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62K05
Mathematics Subject Classification ID: 90C47
zbMATH DE Number: 7442044
zbMATH Keywords: optimal design of experiments
zbMATH Keywords: linear time invariant systems
zbMATH Keywords: state-space models
zbMATH Keywords: model identifiability
zbMATH Keywords: biochemical reaction networks
MaRDI profile type: Publication
full work available at URL: s11222-021-10020-y
OpenAlex ID: W3172793745
cites work: Model decomposition and reduction tools for large-scale networks in systems biology
cites work: Q3445852
cites work: A new version of DAISY to test structural identifiability of biological models
cites work: Global optimization problems in optimal design of experiments in regression models
cites work: Multi-objective experimental design for \(^{13}C\)-based metabolic flux analysis
cites work: An Interior Point Algorithm for Large-Scale Nonlinear Programming
cites work: Optimal Bayesian design applied to logistic regression experiments
cites work: Minimax optimal designs via particle swarm optimization methods
cites work: On the relationship between sloppiness and identifiability
cites work: Optimal input design for identification of compartmental models. Theory and application to a model of glucose kinetics
cites work: On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds
cites work: Design of experiments for parameter estimation in multiresponse situations
cites work: CONOPT: A GRG code for large sparse dynamic nonlinear optimization problems
cites work: CONOPT—A Large-Scale GRG Code
cites work: A semi-infinite programming based algorithm for finding minimax optimal designs for nonlinear models
cites work: Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming‐Based Approach
cites work: A semi-infinite programming based algorithm for determining T-optimum designs for model discrimination
cites work: Adaptive grid semidefinite programming for finding optimal designs
cites work: Optimal exact designs of experiments via mixed integer nonlinear programming
cites work: Determining identifiable parameter combinations using subset profiling
cites work: The Design of Experiments in the Multiresponse Case
cites work: Optimal design for nonlinear response models
cites work: Q4692382
cites work: Experimental design for parameter estimation in steady-state linear models of metabolic networks
cites work: Linearization methods for optimization of functionals which depend on probability measures
cites work: SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
cites work: Q4917542
cites work: Dynamic system identification. Experiment design and data analysis
cites work: Computing \(c\)-optimal experimental designs using the simplex method of linear programming
cites work: Optimal inputs and sensitivities for parameter estimation
cites work: Control, identification, and input optimization
cites work: General equivalence theory for optimum designs (approximate theory)
cites work: The Equivalence of Two Extremum Problems
cites work: Numerical methods for optimal control problems in design of robust optimal experiments for nonlinear dynamic processes
cites work: Q4724470
cites work: A Metaheuristic Adaptive Cubature Based Algorithm to Find Bayesian Optimal Designs for Nonlinear Models
cites work: Optimal input signals for parameter estimation in dynamic systems--Survey and new results
cites work: On optimal choice of sampling strategies for linear system identification
cites work: Optimal Designs for Rational Function Regression
cites work: Optimal experimental design and some related control problems
cites work: Design of experiments in nonlinear models. Asymptotic normality, optimality criteria and small-sample properties
cites work: Algorithmic construction of optimal designs on compact sets for concave and differentiable criteria
cites work: Q4849481
cites work: Optimal Experimental Design and Accuracy of Parameter Estimation for Nonlinear Regression Models Used in Long‐term Selection
cites work: Q3376534
cites work: Q4227099
cites work: Computing optimal designs of multiresponse experiments reduces to second-order cone program\-ming
cites work: Computing exact \(D\)-optimal designs by mixed integer second-order cone programming
cites work: Optimal Designs for Steady-State Kalman Filters
cites work: Q3922026
cites work: Optimal experiment design in a filtering context with application to sampled network data
cites work: Aspects of Optimal Design in Dynamic Systems
cites work: Q5692623
cites work: A network dynamics approach to chemical reaction networks
cites work: Applications of semidefinite programming
cites work: Observability and structural identifiability of nonlinear biological systems
cites work: Q4768502
cites work: Robust designs for binary data: applications of simulated annealing
cites work: On Optimal Designs for Nonlinear Models: A General and Efficient Algorithm

Optimal experimental design for linear time invariant state-space models (cites work)
cites work: Optimal experiment design for dynamic system identification

Optimal experimental design for linear time invariant state-space models (DOI)
DOI: 10.1007/S11222-021-10020-Y