Razmjooy, N., Ramezani, M.: Analytical solution for optimal control by the second kind Chebyshev polynomials expansion. Razmjooy, N., Ramezani, M.: Robust optimal control of two-wheeled self-balancing robot using Chebyshev inclusion method. Razmjooy, N., Ramezani, M.: An improved quantum evolutionary algorithm based on invasive weed optimization. The presented technique is based on an interval extension of Chebyshev polynomials where its coefficients are achieved by world cup optimization algorithm, as a new optimization algorithm. El-Gindy, T., El-Hawary, H., Salim, M., El-Kady, M.: A Chebyshev approximation for solving optimal control problems. The proposed solution is based on state parameterization, such that the state variable is approximated by the proposed interval Chebyshev polynomials with unknown interval coefficients. Jaulin, L.: Applied Interval Analysis: With Examples in Parameter and state estimation. Alipouri, Y., Poshtan, J.: Robust minimum variance lower bound estimation by uncertainty modeling using interval Type2 fuzzy set. Interval arithmetic is also utilized for developing the proposed method in the presence of uncertainties with only lower and upper bounds of parameters. In the proposed method, the equation of motion, performance index, and boundary conditions are first changed into some algebraic equations.
It must be your first move before you actually go and buy one. They must be careful to keep the defensive shape and balance the defense so they don’t leave themselves exposed while not being directly involved in winning the ball back. The final results suggest that in order for countries to outperform their demographic and economic characteristics they must aggressively fund their alpine teams. This paper analyzes the results from the last 12 seasons of the FIS Alpine World Cup, in order to explore 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 transient performance of automatic generation control in restructured power system. Madadi, A., Razmjooy, N., Ramezani, M.: Robust control of power system stabilizer using world cup optimization algorithm. Final results denoted that the presented multiobjective optimization algorithm improves the quality of the image contrast and can illustrate more details and information toward the other compared methods. Razmjooy, N., Khalilpour, M., Ramezani M.: A new meta-heuristic optimization algorithm inspired by FIFA World Cup competitions: theory and its application in PID designing for AVR system.
Razmjooy, N., Ramezani, M., Nazari, E.: Using LQG/LTR optimal control method for car suspension system. The proposed method approximates the control and state variables as a function of time. Finally, by solving the baseline problem in the presence of interval uncertainties, the reliability and effectiveness of the proposed method are demonstrated. In this paper, an efficient numerical approach is developed for solving the baseline problem with interval uncertainties. Olegovna, O.V.: Interval optimal control problem in a Hilbert space. W. A.: Necessary condition for optimal control problem with the interval-valued objective function. This process converts the problem into an optimization problem. Jesus de, M.A., Estrela, V.V., Saotome, O., Stutz, D.: Super-resolution via particle swarm optimization variants. Yuta, O., Kashima, K., Ohta, Y.: Iterative path integral approach to nonlinear stochastic optimal control under compound poisson noise. Salem, N.B., Trimeche, K.: Mehler integral transforms associated with Jacobi functions with respect to the dual variable. Surprisingly the snowfall variable was not significant. The results indicate that GDP Per Capita is the most significant variable when predicting success.
The empirical model is formatted based on previous literature focused on predicting countries’ success at the Olympics. Chen, E., Cao, H., Wang, K., Jafar, S., He, Q.: Technological updating decision-making model for EcoFactory through dynamic programming. Ashpazzadeh, E., Lakestani, M., Razzaghi, M.: Nonlinear constrained optimal control problems and cardinal hermite interpolant multiscaling functions. Sweaty feet from hard practices lead to a plethora of problems for your feet. After consulting with his physician, Lavine stopped the blood pressure medication he had been taking for more than six months with no problems. Grounded in an exploration of urban development in the host city of Volgograd, this paper demonstrates that the intersection of state-led development impulses, neoliberal rhetoric, and local needs resulted in a mega-event that emphasized a narrow form of development over more substantial interventions that could have benefited the host population more efficiently. Unlike many other mega-events, this World Cup was orchestrated by the central state, though using neoliberal rhetoric to legitimize a wide-ranging urban development program aimed at modernizing peripheral host cities. This paper investigates the preparations for the 2018 Men’s Football World Cup in Russia through the lens of neoliberal urban entrepreneurialism.
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