this research studies the application of hybrid algorithms for predicting the prices of crude oil. brent crude oil price data and hybrid intelligent algorithm (time delay neural network, probabilistic neural network, and fuzzy logic) were used to build intelligent decision support systems for predicting crude oil prices. the proposed model was able to predict future crude oil prices from august...

Some perspectives and challenges in research on the crossing of system biology, hybrid system formulations and system identification are outlined. Emphasis is given on the hybrid, gray box modeling of interactions between the different abstract levels of organization typically recognized in (micro-)organisms, its associated identification problem and optimal experimental (input) design.

Lots of diagnosis approaches proposed in the literature are based in the assumption of single faults. This assumption may result to erroneous diagnosis statement in case where multiple faults occurs. Thus multiple fault diagnosis is a challenging field particularly in the control of large scale complex systems that can be viewed as hybrid systems. The main reason is that multiple faults are har...

Increasing efficiency and decreasing cost are the main purposes in the design of the power generation systems. In this study two hybrid systems: solid oxide fuel cell (SOFC)-gas turbine (GT) and SOFC-GT-steam turbine (ST); are considered. Increasing the SOFC input temperature causes thermodynamics improvement in the hybrid system operation. For this purpose, using two set of SOFC reactants heat...