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Power flow Petri Net modelling for building integrated multi-source power system with smart grid interaction

Wang, B.C.; Sechilariu, M.; Locment, F. - In: Mathematics and Computers in Simulation (MATCOM) 91 (2013) C, pp. 119-133

This paper presents an energy management modelling of a multi-source power system composed of photovoltaic (PV) array …

Persistent link: https://www.econbiz.de/10010751810

Sensitivity analysis and model order reduction for random linear dynamical systems

Pulch, Roland; ter Maten, E. Jan W.; Augustin, Florian - In: Mathematics and Computers in Simulation (MATCOM) 111 (2015) C, pp. 80-95

We consider linear dynamical systems defined by differential algebraic equations. The associated input–output behaviour is given by a transfer function in the frequency domain. Physical parameters of the dynamical system are replaced by random variables to quantify uncertainties. We analyse...

Persistent link: https://www.econbiz.de/10011264175

Visualizing regulatory interdependencies and parameter sensitivities in biochemical network models

Noack, S.; Wahl, A.; Haunschild, M.; Qeli, E.; … - In: Mathematics and Computers in Simulation (MATCOM) 79 (2008) 4, pp. 991-998

For the evaluation of data from stimulus response experiments dynamic metabolic network models are generated. With an increase of reaction steps and regulatory interdependencies the amount of the simulation data becomes hard to handle. In this paper, we present the application and extension of...

Persistent link: https://www.econbiz.de/10010870026

Parameter estimation and sensitivity analysis of fat deposition models in beef steers using acslXtreme

McPhee, Malcolm; Oltjen, Jim; Fadel, James; Mayer, David; … - In: Mathematics and Computers in Simulation (MATCOM) 79 (2009) 9, pp. 2701-2712

feed >100 days and the fat deposition parameter coefficients for all days on feed. The generalized NL2SOL optimization …

Persistent link: https://www.econbiz.de/10010870127

Finite element method based design and optimisation methodology for piezoelectric ultrasonic motors

Flueckiger, Markus; Fernandez, José M.; Perriard, Yves - In: Mathematics and Computers in Simulation (MATCOM) 81 (2010) 2, pp. 446-459

Piezoelectric ultrasonic motors are superior to electromagnetic micro motors, because their efficiency remains theoretically constant during miniaturization. However, the still relatively recent technology has a considerable unexploited optimisation potential. Numerical structural analysis by...

Persistent link: https://www.econbiz.de/10010870195

Analysis of an integrated model for assessing land and water policy options

Gilmour, J.K.; Letcher, R.A.; Jakeman, A.J. - In: Mathematics and Computers in Simulation (MATCOM) 69 (2005) 1, pp. 57-77

This paper outlines results of a sensitivity analysis on a model developed to examine water policy and land use change options in the Yass River catchment, NSW. The model has three integrated components consisting of policy, hydrological and agricultural production system models. The sensitivity...

Persistent link: https://www.econbiz.de/10010870623

Crossed-derivative based sensitivity measures for interaction screening

Roustant, O.; Fruth, J.; Iooss, B.; Kuhnt, S. - In: Mathematics and Computers in Simulation (MATCOM) 105 (2014) C, pp. 105-118

Global sensitivity analysis is used to quantify the influence of input variables on a numerical model output. Sobol’ indices are now classical sensitivity measures. However their estimation requires a large number of model evaluations, especially when interaction effects are of interest....

Persistent link: https://www.econbiz.de/10010906725

Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates

Sobol′ , I.M - In: Mathematics and Computers in Simulation (MATCOM) 55 (2001) 1, pp. 271-280

Global sensitivity indices for rather complex mathematical models can be efficiently computed by Monte Carlo (or quasi-Monte Carlo) methods. These indices are used for estimating the influence of individual variables or groups of variables on the model output.

Persistent link: https://www.econbiz.de/10011050364

COOPT — a software package for optimal control of large-scale differential–algebraic equation systems

Serban, Radu; Petzold, Linda R. - In: Mathematics and Computers in Simulation (MATCOM) 56 (2001) 2, pp. 187-203

, with the DAEs solved numerically on the subintervals at each optimization iteration. Continuity constraints are imposed … across the subintervals. The resulting optimization problem is solved by sparse sequential quadratic programming (SQP …) methods. Partial derivative matrices needed for the optimization are generated by DAE sensitivity software. The sensitivity …

Persistent link: https://www.econbiz.de/10011050526

Monte Carlo algorithms for evaluating Sobol’ sensitivity indices

Dimov, I.; Georgieva, R. - In: Mathematics and Computers in Simulation (MATCOM) 81 (2010) 3, pp. 506-514

Sensitivity analysis is a powerful technique used to determine robustness, reliability and efficiency of a model. The main problem in this procedure is the evaluating total sensitivity indices that measure a parameter’s main effect and all the interactions involving that parameter. From a...

Persistent link: https://www.econbiz.de/10010748491