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El-Gindy, T., El-Hawary, H., Salim, M., El-Kady, M.: A Chebyshev approximation for solving optimal control Issues. Razmjooy, N., Ramezani, M.: An improved quantum evolutionary algorithm according to invasive weed optimization. Madadi, A., Razmjooy, N., Ramezani, M.: Robust control of power system stabilizer using world cup optimisation algorithm. Razmjooy, N., Ramezani, M., Nazari, E.: Using LQG/LTR best control way of auto suspension system. Razmjooy, N., Ramezani, M.: Analytical solution for optimal controller by the second kind Chebyshev polynomials growth. Razmjooy, N., Khalilpour, M., Ramezani M.: A fresh meta-heuristic optimization algorithm motivated by FIFA World Cup contests: theory and its use in PID design for AVR system. Chaouech, L., Soltani, M., Dhahri, S., Chaari, A.: Design of an optimal fuzzy sliding mode controller using scalar signal function.
Lai, C.-K., Lone, M., Thomas, P.: Whidborne J., Cooke A.: On-board trajectory production for collision avoidance in unmanned aerial vehicles. Hosseini, H., Tousi, B., Razmjooy, N.: Application of fuzzy subtractive clustering for optimal passing functionality of automatic generation control in restructured power system. In the proposed procedure, the equation of motion, performance index, and boundary states are first changed into some algebraic equations. At length, by resolving the research problem in the presence of interval doubts, the reliability and effectiveness of the proposed method are shown. Interval arithmetic can be used for developing the proposed method in the existence of uncertainties with just lower and upper bounds of parameters. The suggested process approximates the management and condition factors as a function of time. The proposed solution is based on condition parameterization, such that the condition variable is approximated from the projected interval Chebyshev polynomials with unfamiliar period coefficients. With each individual condition setting their own principles, online sports betting guidelines vary from state to state.

Alipouri, Y., Poshtan, J.: Strong minimum variance lower bound estimation by doubt modeling utilizing interval Type2 blurry set. Within this paper, an efficient numerical strategy is designed for solving the baseline problem with interval doubts. Yuta, O., Kashima, K., Ohta, Y.: Iterative path integral method of nonlinear stochastic optimal control under chemical poisson sound. Jesus de, M.A., Estrela, V.V., Saotome, O., Stutz, D.: Super-resolution through particle swarm optimization variants. This process converts the problem to an optimization problem. 메이저놀이터 presented technique relies on a period extension of Chebyshev polynomials in which its coefficients are attained by world cup optimisation algorithm, as a brand new optimization algorithm. Olegovna, O.V.: Interval best control problem in a Hilbert space. W. A.: Necessary requirement for optimal control problem with this interval-valued purpose function. Yang, J., Zhang, C., Li, S., Niu, X.: Semi-global exquisite disturbance attenuation command for perturbed uncertain nonlinear systems.