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Razmjooy, N., Ramezani, M.: Analytical solution for optimum control by the second kind Chebyshev polynomials expansion. Razmjooy, N., Ramezani, M.: Robust optimal control of two-wheeled self-balancing robot with Chebyshev inclusion technique. Razmjooy, N., Ramezani, M.: An improved quantum evolutionary algorithm according to invasive weed optimization. The presented technique is based on a period expansion of Chebyshev polynomials at which its coefficients are attained by world cup optimisation algorithm, like a brand new optimization algorithm. The suggested solution is based on state parameterization, such that the condition variable is approximated from the projected period Chebyshev polynomials with unidentified interval coefficients. Jaulin, L.: Applied Interval Analysis: With Examples in Parameter and state estimation. Alipouri, Y., Poshtan, J.: Strong minimum variance lower bound estimation by doubt modeling utilizing period Type2 fuzzy set. Interval arithmetic can also be used for creating the proposed procedure in the existence of uncertainties with just upper and lower boundaries of parameters. In the proposed procedure, the equation of motion, performance indicator, and boundary states are changed into some algebraic equations.

It has to be your very first movement before you actually go and purchase one. They need to be careful to keep the defensive form and balance the protection so they don’t leave themselves vulnerable while not being directly involved with winning back the ball. The final results imply that in order for nations to outperform their demographic and economic characteristics they must aggressively finance their alpine teams. This paper assesses the results in the last 12 seasons of the FIS Alpine World Cup, so as to research what demographic and financial characteristics have the most predictive power in determining success. Hosseini, H., Tousi, B., Razmjooy, N.: Application of fuzzy subtractive clustering for optimum transient performance of automatic generation control in restructured electricity system. Last results denoted the presented multiobjective optimization algorithm enhances the quality of the picture contrast and can show additional information and information toward the other compared methods. Razmjooy, N., Khalilpour, M., Ramezani M.: A fresh meta-heuristic optimization algorithm inspired by FIFA World Cup contests: concept and its use in PID designing for AVR system.

The empirical version is formatted according to previous literature focused on predicting countries’ success in the Olympics. Ashpazzadeh, E., 주식 [blogfreely.net noted] Lakestani, M., Razzaghi, M.: Nonlinear constrained optimal control problems and hermite interpolant multiscaling functions. Sweaty feet from hard practices result in a myriad of issues for your feet. After consulting his physician, Lavine ceased the blood pressure medicine he was taking for more than six months without any issues. Grounded in an investigation of urban growth from the host city of Volgograd, this paper demonstrates that the intersection of state-led development impulses, neoliberal rhetoric, along with local needs led to an mega-event that highlighted a narrow form of development over more substantial interventions that might have profited the host population more efficiently. Unlike a number of different mega-events, this World Cup has been orchestrated from the central country, though utilizing neoliberal rhetoric into legitimize a wide-ranging urban development program aimed at modernizing peripheral host cities. This paper explores the preparations for its 2018 Men’s Football World Cup in Russia throughout the lens of neoliberal urban entrepreneurialism.

Razmjooy, N., Ramezani, M., Nazari, E.: Using LQG/LTR best control way of car suspension system. The suggested process approximates the control and condition variables as a function of time. At length, by resolving the baseline difficulty in the presence of interval uncertainties, the reliability and effectiveness of the proposed system are demonstrated. Within this paper, an efficient numerical strategy is designed for solving the baseline problem with period uncertainties. Olegovna, O.V.: Interval optimal control problem in a Hilbert space. W. A.: Necessary requirement for optimal control issue with the interval-valued objective function. This method converts the problem into an optimization problem. Yuta, O., Kashima, K., Ohta, Y.: Iterative path integral approach to nonlinear stochastic optimal control under chemical poisson noise. Salem, N.B., Trimeche, K.: Mehler key changes related to Jacobi functions with regard to the dual factor. Astonishingly the snowfall factor was not important. The results imply that GDP Per Capita is the most crucial factor when predicting success.