in 2d soccer simulation league, agents will decide based on information and data in their model. effective decisions need to have world model information without any noise and missing data; however, there are few solutions to omit noise in world model data; so we should find efficient ways to reduce the effect of noise when making decisions. in this article we evaluate some simple solutions whe...

investigating nozzle’s orifice flow is challenging both experimentally and theoretically. this paper focuses on simulating flow inside diesel injector nozzle via ansys fluent v15. validation is performed with experimental results from winkhofler et al (2001). several important parameters such as mass flow rate, velocity profiles and pressure profiles are used for this validation. results includ...

a detailed model of wind power station, including double fed induction generator, dfig is presented in this paper. two control mechanisms are included in the model. the inner control system uses stator flux oriented control for the rotor side converter and grid voltage vector control for the grid side converter. the outer control system is used for wind turbine pitch angle. pscad/emtdc is used ...

runoff and sediment measurement is difficult in mountain watershed because of many different problems such as time and financial limitations. so using simulation model is necessary in this regard. accuracy and precision evaluation of models for different watershed of iran is necessary. the aim of this study was the evaluation of swat model efficiency in simulation of runoff and sediment yield i...

short term prediction of traffic flow is one of the most essential elements of all proactive traffic control systems. although various methodologies have been applied to forecast traffic parameters, several researchers have showed that compared with the individual methods, hybrid methods provide more accurate results . these results made the hybrid tools and approaches a more common method for ...

model predictive controller is widely used in industrial plants. uncertainty is one of the critical issues in real systems. in this paper, the direct adaptive simplified model predictive control (smpc) is proposed for unknown or time varying plants with uncertainties. by estimating the plant step response in each sample, the controller is designed and the controller coefficients are directly ca...