Razmjooy, N., Ramezani, M.: Analytical solution for optimal controller by the next kind Chebyshev polynomials growth. Razmjooy, N., Ramezani, M.: Robust optimal control of two-wheeled self-balancing robot using Chebyshev inclusion system. Razmjooy, N., Ramezani, M.: A better quantum evolutionary algorithm according to invasive weed optimization. The introduced technique is based on an interval extension of Chebyshev polynomials at which its coefficients are attained by world cup optimisation algorithm, like a new optimization algorithm. The suggested solution is based on state parameterization, like the state variable is approximated from the proposed period Chebyshev polynomials with unknown period coefficients. Alipouri, Y., Poshtan, J.: Robust minimum variance lower bound estimation by uncertainty modeling using period Type2 fuzzy set. Interval arithmetic can also be utilized for developing the suggested method in the presence of doubts with only upper and lower bounds of parameters. In the proposed method, the equation of motion, performance index, and boundary conditions are changed into a algebraic equations.

It has to be your very first movement before you go and purchase one. They need to be careful to maintain the defensive form and balance the shield in order that they don’t abandon themselves exposed while not being involved with winning back the ball. The final outcome imply that in order for nations to reevaluate their demographic and financial characteristics they need to aggressively fund their own teams. This paper assesses the results from the previous 12 seasons of the FIS Alpine World Cup, to be able to investigate what demographic and economic characteristics have the most predictive power in determining success. Hosseini, H., Tousi, B., Razmjooy, N.: Application of fuzzy subtractive clustering for optimal passing performance of automatic production control in restructured electricity system. Madadi, A., Razmjooy, N., Ramezani, M.: Robust control of power system stabilizer using world cup optimisation algorithm. Final results denoted the presented multiobjective optimization algorithm enhances the standard of the picture comparison and can illustrate additional information and information toward the other in comparison methods. Razmjooy, N., Khalilpour, M., Ramezani M.: A new meta-heuristic optimization algorithm inspired by FIFA World Cup contests: theory and its use in PID design for AVR system.

The empirical version is organised according to previous literature focused on forecasting countries’ success at the Olympics. Chen, E., Cao, H., Wang, K., Jafar, S., He, Q.: Technological upgrading decision-making model for EcoFactory through programming. Sweaty feet from hard practices lead to a myriad of issues for your feet. After consulting with his physician, Lavine stopped the blood pressure medication he had been taking for 먹튀검증사이트 more than six months with no issues. Grounded in an investigation of urban growth from the host town of Volgogradthis paper shows that the intersection of state-led development impulses, neoliberal rhetoric, and local needs resulted in an mega-event that highlighted a narrow type of development over more substantial interventions which might have benefited the host population more efficiently. Unlike a number of other mega-events, this World Cup was orchestrated by the central country, though utilizing neoliberal rhetoric into legitimize a broad urban improvement program geared toward modernizing peripheral host cities. This paper investigates the preparations for its 2018 Men’s Soccer World Cup at Russia throughout the lens of neoliberal urban entrepreneurialism.

Razmjooy, N., Ramezani, M., Nazari, E.: Applying LQG/LTR optimal control way of auto suspension system. The suggested method approximates the management and state factors as a function of time. Finally, by resolving the research difficulty in the presence of period uncertainties, the reliability and efficacy of the proposed method are shown. In this paper, an efficient numerical approach is developed for solving the research problem with period uncertainties. Olegovna, O.V.: Interval optimum control problem in a Hilbert space. W. A.: Necessary condition for optimal control issue with the interval-valued purpose function. This method converts the problem to an optimization problem. Yuta, O., Kashima, K., Ohta, Y.: Iterative path integral method of nonlinear stochastic optimal control under chemical poisson noise. Salem, N.B., Trimeche, K.: Mehler integral changes related to Jacobi functions with respect to the dual factor. Astonishingly the snowfall variable was not important. The results indicate that GDP Per Capita is the most critical factor when calling success.