Modeling and simulation of lithium-ion batteries from a systems engineering perspective

V Ramadesigan, PWC Northrop, S De… - Journal of the …, 2012 - iopscience.iop.org
The lithium-ion battery is an ideal candidate for a wide variety of applications due to its high
energy/power density and operating voltage. Some limitations of existing lithium-ion battery …

A review of recent advances in global optimization

CA Floudas, CE Gounaris - Journal of Global Optimization, 2009 - Springer
This paper presents an overview of the research progress in deterministic global
optimization during the last decade (1998–2008). It covers the areas of twice continuously …

Benchmarking optimization methods for parameter estimation in large kinetic models

AF Villaverde, F Fröhlich, D Weindl, J Hasenauer… - …, 2019 - academic.oup.com
Motivation Kinetic models contain unknown parameters that are estimated by optimizing the
fit to experimental data. This task can be computationally challenging due to the presence of …

Parameter identifiability analysis and visualization in large-scale kinetic models of biosystems

A Gábor, AF Villaverde, JR Banga - BMC systems biology, 2017 - Springer
Background Kinetic models of biochemical systems usually consist of ordinary differential
equations that have many unknown parameters. Some of these parameters are often …

McCormick-based relaxations of algorithms

A Mitsos, B Chachuat, PI Barton - SIAM Journal on Optimization, 2009 - SIAM
Theory and implementation for the global optimization of a wide class of algorithms is
presented via convex/affine relaxations. The basis for the proposed relaxations is the …

Robust and efficient parameter estimation in dynamic models of biological systems

A Gábor, JR Banga - BMC systems biology, 2015 - Springer
Background Dynamic modelling provides a systematic framework to understand function in
biological systems. Parameter estimation in nonlinear dynamic models remains a very …

Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning

D Rall, AM Schweidtmann, M Kruse… - Journal of Membrane …, 2020 - Elsevier
Innovative membrane technologies optimally integrated into large separation process plants
are essential for economical water treatment and disposal. However, the mass transport …

State‐of‐the‐art and progress in the optimization‐based simultaneous design and control for chemical processes

Z Yuan, B Chen, G Sin, R Gani - AIChE Journal, 2012 - Wiley Online Library
Significant progress in the area of simultaneous design and control for chemical processes
has been achieved and various methodologies have been put forward to address this issue …

An automated microfluidic system for online optimization in chemical synthesis

JP McMullen, KF Jensen - Organic process research & …, 2010 - ACS Publications
An automated, continuous flow system for the online, multivariable optimization of a
chemical reaction is presented. Time and material required for an optimization trial are …

The integer approximation error in mixed-integer optimal control

S Sager, HG Bock, M Diehl - Mathematical programming, 2012 - Springer
We extend recent work on nonlinear optimal control problems with integer restrictions on
some of the control functions (mixed-integer optimal control problems, MIOCP). We improve …