Abstract: The paper presents a methodology for optimal input design for model discrimination from experimental data. To allow analytical solutions, the method, using Pontryagin’s maximum principle, is initially 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 zero-, first-order and Monod kinetics
Mathematical modeling of biochemical processes significantly contributes to a better understanding o...
This paper considers optimal input design when the intended use of the identified model is to constr...
The problem of optimal input design (OID) for a fed-batch bioreactor case study is solved recursivel...
Abstract: The paper presents a methodology for optimal input design for model discrimination from ex...
The paper presents a methodology for an optimal input design for model discrimination. To allow anal...
The paper presents a methodology for optimal input design for the estimation ofparameters in nonline...
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...
There are many aspects to consider when designing system identification experiments in control appli...
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...
Abstract — This paper considers a method for optimal input design in system identification for contr...
Abstract Presented in this chapter is a tutorial on the design of input signals for system identific...
We present a method of performing optimal input design on a process controlled by MPC. Given a model...
In this paper the traditional and well-known problem of optimal input design for parameter estimatio...
Mathematical modeling of biochemical processes significantly contributes to a better understanding o...
This paper considers optimal input design when the intended use of the identified model is to constr...
The problem of optimal input design (OID) for a fed-batch bioreactor case study is solved recursivel...
Abstract: The paper presents a methodology for optimal input design for model discrimination from ex...
The paper presents a methodology for an optimal input design for model discrimination. To allow anal...
The paper presents a methodology for optimal input design for the estimation ofparameters in nonline...
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...
There are many aspects to consider when designing system identification experiments in control appli...
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...
Abstract — This paper considers a method for optimal input design in system identification for contr...
Abstract Presented in this chapter is a tutorial on the design of input signals for system identific...
We present a method of performing optimal input design on a process controlled by MPC. Given a model...
In this paper the traditional and well-known problem of optimal input design for parameter estimatio...
Mathematical modeling of biochemical processes significantly contributes to a better understanding o...
This paper considers optimal input design when the intended use of the identified model is to constr...
The problem of optimal input design (OID) for a fed-batch bioreactor case study is solved recursivel...
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