Optimal experiment design under parametric uncertainty: A comparison of a sensitivities based approach versus a polynomial chaos based stochastic approach
Sign Up to like & getrecommendations! Published in 2020 at "Chemical Engineering Science"
DOI: 10.1016/j.ces.2020.115651
Abstract: Abstract In order to estimate parameters accurately in nonlinear dynamic systems, experiments that yield a maximum of information are invaluable. Such experiments can be obtained by exploiting model-based optimal experiment design techniques, which use the… read more here.
Keywords: information; optimal experiment; experiment design; polynomial chaos ... See more keywords
Model-Based Optimal Experiment Design for Nonlinear Parameter Estimation Using Exact Confidence Regions
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.2567
Abstract: Abstract Optimal experiment design is usually performed as a search over a finitely-parameterized shape that (over-) approximates the confidence region of parameters of a model. In general, there exists no such shape to exactly enclose… read more here.
Keywords: confidence region; optimal experiment; experiment design; problem ... See more keywords
Searching an optimal experiment observation sequence to estimate the thermal properties of a multilayer wall under real climate conditions
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Heat and Mass Transfer"
DOI: 10.1016/j.ijheatmasstransfer.2020.119810
Abstract: Abstract The in situ estimation of the thermal properties of existing building wall materials is a computationally expensive procedure. Its cost is highly proportional to the duration of measurements. To decrease the computational cost a… read more here.
Keywords: methodology; optimal experiment; estimate thermal; thermal conductivity ... See more keywords