Nonlinear analysis and control of PEM fuel cells

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2010

Financial structure choice in owner-managed firms : entrepreneurial characteristics, utility of control, and the competitive context

Magdeburg, Univ., Fak. für Wirtschaftswiss., Diss., 2011

Synthesis of plantwide control strategies using mixed integer optimization

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2012

C allele of the IL-1B-511 SNP is associated with higher risk for Gastric Cancer and its premalignant lesion : a prospective case-control study in Peru

Magdeburg, Univ., Medizin. Fakultät, Diss., 2008

Stochastic effects and uncertainties in assessing electromagnetic interactions with control systems

Electromagnetic compatibility, lightning, crosstalk surge voltages, Monte Carlo simulation, accident initiator

Control of spiral wave dynamics by feedback mechanism via a triangular sensory domain

Spiral wave,feedback mechanism, photosensitive BZ reaction, excitable media, drift vetor field plot, planewave approximation, BZ, nonlinear

Non-linear model reduction and control of molten carbonate fuel cell systems with internal reforming fuel cell systems with internal reforming

Magdeburg, Univ., Diss, 2007

Simulationsbasierte Frühwarnsysteme zur Unterstützung der operativen Produktionssteuerung und -planung in der Automobilindustrie

Material flow simulation, Simulation-based Early Warning System, Discrete Event Simulation, Production Planning and Control, Automotive Industry, Forecast of Future System States, Monitoring Systems

Modeling and simulation of population balances for particulate processes

This work focuses on the modeling and numerical approximations of population balance equations (PBEs) for the simulation of different phenomena occurring in process engineering. The population balance equation (PBE) is considered to be a statement of continuity. It tracks the change in particle size distribution as particles are born, die, grow or leave a given control volume. In the population balance models the one independent variable represents the time, the other(s) are property coordinate(s), e.g., the particle volume (size) in the present case. They typically describe the temporal evolution of the number density functions and have been used to model various processes such as granulation, crystallization, polymerization, emulsion and cell dynamics. The semi-discrete high resolution schemes are proposed for solving PBEs modeling one and two-dimensional batch crystallization models. The schemes are discrete in property coordinates but continuous in time. The resulting ordinary differential equations can be solved by any standard ODE solver. To improve the numerical accuracy of the schemes a moving mesh technique is introduced in both one and two-dimensional cases ...

Synergistic inflammatory signaling in airway epithelial cells : control of expression levels of protease activated receptors and interleukin-8 release

Protease-activated receptor, interleukin, thrombin, trypsin, asthma

Simulations for modelling of population balance equations of particulate processes using the discrete particle model (DPM)

Magdeburg, Univ., Fak. für Mathematik, Diss., 2009

Numerical investigation of micro and macro mechanical behaviour of granular media via a discrete element approach

Magdeburg, Univ., Fak. für Mathematik, Diss., 2009

On design and control of simulated moving bed plants

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2010

Control of fluidized bed spray granulation processes

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2012

Model-based measurement and control of fluidised bed spray granulation processes

Magdeburg, Univ., Fak. für Verfahrens- und Systemtechnik, Diss., 2012