Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents, for the first time in literature, an approach and preliminary results for the design of dynamic experiments in the framework of bounded-error (guaranteed) parameter estimation that determines confidence limits on the identified parameters similarly to a posteriori analysis in standard maximum-likelihood (e.g. least-squares) estimation. As in the classical approaches to the design of experiments, being established for other types of estimation, an essential part of the solution procedure is the approximation of the resulting joint-confidence region. In this contribution,  develop and thoroughly analyze the procedure and different ways of achieving an over-approximation of the set resulting from guaranteed parameter estimation based on the expected values of parameters. Finally  solve the problem of the design of experiments as a bilevel program that is regularized in order to be ll-posed.  demonstrate our approach on a case study from the domain of chemical engineering.
['Anwesh Reddy Gottu Mukkula', 'Radoslav Paulen']
I am writing a research paper on a idea Optimal design of dynamic experiments for guaranteed parameter estimation
[{"from": "human", "value": "I am writing a research paper on a idea Optimal design of dynamic experiments for guaranteed parameter estimation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents, for the first time in literature, an approach and preliminary results for the design of dynamic experiments in the framework of bounded-error (guaranteed) parameter estimation that determines confidence limits on the identified parameters similarly to a posteriori analysis in standard maximum-likelihood (e.g. least-squares) estimation. As in the classical approaches to the design of experiments, being established for other types of estimation, an essential part of the solution procedure is the approximation of the resulting joint-confidence region. In this contribution,  develop and thoroughly analyze the procedure and different ways of achieving an over-approximation of the set resulting from guaranteed parameter estimation based on the expected values of parameters. Finally  solve the problem of the design of experiments as a bilevel program that is regularized in order to be ll-posed.  demonstrate our approach on a case study from the domain of chemical engineering."}]