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New technologies challenge our methods for system analysis and design.
The modelling and simulation toolset HAGGIS provides methods for system specification and formal risk analysis.
His research focuses on the combination of advanced statistics and stochastic methods for system modeling, diagnosis, and prognosis.
The application of the analytical redundancy based methods for system fault detection causes that their effectiveness depends on model quality.
In addition, simulations based on exergo-economic and exergy-cost-energy-mass (EXCEM) methods for system design are presented.
The aim of this paper is to investigate whether the Runge-Kutta methods for system (2.1) preserve the dissipativity of the system itself.
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By using synchronization verification methods for system-level designs, designers can make sure the behaviors on concurrent processes are within the behaviors that they intend.
First, we describe methods for systems with anisotropy along coordinate axes.
The paper also presents some more recent results on deterministic and probabilistic methods for systems with uncertainty.
Several novel computational methods for systems biology were proposed for the first time and some intriguing biological findings were reported in large scale experiments.
This can be an important advantage of MEM-approximation over other methods for systems where it is difficult to estimate the non-resonant background.
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