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Modeling and simulation of lithium-ion batteries from a systems engineering perspective
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 …
energy/power density and operating voltage. Some limitations of existing lithium-ion battery …
A review of recent advances in global optimization
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 …
optimization during the last decade (1998–2008). It covers the areas of twice continuously …
Benchmarking optimization methods for parameter estimation in large kinetic models
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 …
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
Background Kinetic models of biochemical systems usually consist of ordinary differential
equations that have many unknown parameters. Some of these parameters are often …
equations that have many unknown parameters. Some of these parameters are often …
McCormick-based relaxations of algorithms
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 …
presented via convex/affine relaxations. The basis for the proposed relaxations is the …
Robust and efficient parameter estimation in dynamic models of biological systems
Background Dynamic modelling provides a systematic framework to understand function in
biological systems. Parameter estimation in nonlinear dynamic models remains a very …
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
Innovative membrane technologies optimally integrated into large separation process plants
are essential for economical water treatment and disposal. However, the mass transport …
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
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 …
has been achieved and various methodologies have been put forward to address this issue …
An automated microfluidic system for online optimization in chemical synthesis
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 …
chemical reaction is presented. Time and material required for an optimization trial are …
The integer approximation error in mixed-integer optimal control
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 …
some of the control functions (mixed-integer optimal control problems, MIOCP). We improve …