W Tang, P Daoutidis - 2022 American Control Conference …, 2022 - ieeexplore.ieee.org
Process systems are characterized by nonlinearity, uncertainty, large scales, and also the need of pursuing both safety and economic optimality in operations. As a result they are …
Developing an accurate first-principle model is an important step in employing systems biology approaches to analyze an intracellular signaling pathway. However, an accurate first …
Recently, the use of diverse renewable energy resources has been intensively expanding due to their technical and environmental benefits. One of the important issues in the …
Background Kinetic models of biochemical systems usually consist of ordinary differential equations that have many unknown parameters. Some of these parameters are often …
Background Dynamic modelling provides a systematic framework to understand function in biological systems. Parameter estimation in nonlinear dynamic models remains a very …
In this paper, we focus on distributed moving horizon estimation (DMHE) for a class of two- time-scale nonlinear systems described in the framework of singularly perturbed systems. By …
Discovering the governing laws underpinning physical and chemical phenomena entirely from data is a key step towards understanding and ultimately controlling systems in science …
The key processes in biological and chemical systems are described by networks of chemical reactions. From molecular biology to biotechnology applications, computational …
T Barz, S Körkel, G Wozny - Computers & Chemical Engineering, 2015 - Elsevier
Discrete ill-posed problems are often encountered in engineering applications. Still, their sound analysis is not yet common practice and difficulties arising in the determination of …