Add to ORKGThe paper presents a methodology for an optimal input design for model discrimination. To allow analytical solutions, the method, using Pontryagin’s maximum principle, is developed for non-linear single-state systems that are affine in their joint input. The method is demonstrated on a fed-batch reactor case study with first-order and Monod kinetics
A general model for enzyme kinetics with inhibition, the "mixed" inhibition model, simplifies to the...
Mathematical modeling of biochemical processes significantly contributes to a better understanding o...
In this paper we investigate optimal control problems governed by a advection-diffusion-reaction equ...
Abstract: The paper presents a methodology for optimal input design for model discrimination from ex...
The paper presents a methodology for optimal input design for the estimation of parameters in nonlin...
The optimal input design problem for the identification of linear compartmental models is studied. T...
The paper presents a methodology for optimal input design (OID) for minimum-variance estimation of p...
In this paper the well-known problem of optimal input design is considered. In particular, the focus...
This thesis considers the problem of selecting robust and optimal experimental designs for accuratel...
In this paper the traditional and well-known problem of optimal input design for parameter estimatio...
The Pontryagin Maximum Principle is a recognised tool for optimal control problems. The main drawbac...
We consider design issues for toxicology studies when we have a continuous response and the true mea...
Nonlinear models are common in pharmacokinetics and pharmacodynamics. To date, most work in design i...
The KL-optimality criterion has been recently proposed to discriminate between any two statistical m...
In this paper, a new compound optimality criterion will be introduced. This criterion called PDKL-op...
A general model for enzyme kinetics with inhibition, the "mixed" inhibition model, simplifies to the...
Mathematical modeling of biochemical processes significantly contributes to a better understanding o...
In this paper we investigate optimal control problems governed by a advection-diffusion-reaction equ...
Abstract: The paper presents a methodology for optimal input design for model discrimination from ex...
The paper presents a methodology for optimal input design for the estimation of parameters in nonlin...
The optimal input design problem for the identification of linear compartmental models is studied. T...
The paper presents a methodology for optimal input design (OID) for minimum-variance estimation of p...
In this paper the well-known problem of optimal input design is considered. In particular, the focus...
This thesis considers the problem of selecting robust and optimal experimental designs for accuratel...
In this paper the traditional and well-known problem of optimal input design for parameter estimatio...
The Pontryagin Maximum Principle is a recognised tool for optimal control problems. The main drawbac...
We consider design issues for toxicology studies when we have a continuous response and the true mea...
Nonlinear models are common in pharmacokinetics and pharmacodynamics. To date, most work in design i...
The KL-optimality criterion has been recently proposed to discriminate between any two statistical m...
In this paper, a new compound optimality criterion will be introduced. This criterion called PDKL-op...
A general model for enzyme kinetics with inhibition, the "mixed" inhibition model, simplifies to the...
Mathematical modeling of biochemical processes significantly contributes to a better understanding o...
In this paper we investigate optimal control problems governed by a advection-diffusion-reaction equ...