In this paper, a numerical procedure based on the binary search is proposed for
accelerating the parameters identifiability procedure. Basically, the parameters are selected …

When first principlesmodels are used formodel-based operations as monitoring, control and
optimization, the estimation of accurate physical parameters is important in particular when …

This work proposes a procedure for simultaneous parameters identifiability and estimation in
metabolic networks in order to overcome difficulties associated with lack of experimental …

As an important chemical intermediate, 2-mercaptobenzothiazole (MBT) is widely used in
various processes, especially in the rubber industry. However, there is no first-principles …

For high performance model based control applications the state and parameter estimation
algorithms are essential. Furthermore the accuracy of the resulting estimates highly depends …

As the complexity and scales of dynamic models increase, novel and efficient model
correlation methodologies are vital to the development of accurate models. Classically, to …

This paper deals with estimability analysis, parameter identification and experimental
validation of a model developed for a batch reactor where the emulsion copolymerization of …

The world's first high-temperature gas-cooled reactor pebble-bed module (HTR-PM) nuclear
power plant adopts an innovative reactor type and a modular structure design. Parameter …

Atmospheric drag is the largest nongravitational perturbing force acting on low altitude low
Earth orbit (LEO) satellites and debris, and the modeling and estimation of drag effects is a …

Lithium-ion batteries (LIBs) have been regarded as a crucial technology for electrifying a
variety of applications, ranging from powering computers, phones, and hybrid electric …