THE MULTI-SWITCHING SLIDING MODE COMBINATION SYNCHRONIZATION OF FRACTIONAL ORDER NON-IDENTICAL CHAOTIC SYSTEM WITH STOCHASTIC DISTURBANCES AND UNKNOWN PARAMETERS

The Multi-Switching Sliding Mode Combination Synchronization of Fractional Order Non-Identical Chaotic System with Stochastic Disturbances and Unknown Parameters

This paper deals with the issue of the multi-switching sliding mode combination synchronization (MSSMCS) of fractional order (FO) chaotic systems with different structures and unknown parameters under double stochastic disturbances (SD) utilizing the multi-switching synchronization method.The stochastic disturbances are considered as nonlinear nitr

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An Equilibrium Chance-Constrained Multiobjective Programming Model with Birandom Parameters and Its Application to Inventory Problem

An equilibrium chance-constrained multiobjective programming model with birandom parameters is proposed.A type of linear model is converted into its crisp equivalent model.Then a birandom simulation technique is developed to tackle the general birandom cyspera cream where to buy objective functions and birandom constraints.By embedding the birandom

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Implications of Machine Learning in Renewable Energy

Artificial neural networks (ANN) are preferred over some other machine learning (ML) techniques due read more to their extension potential.The requirement for using ML approaches in the renewable energy market is expected to rise significantly in the upcoming decades due to the huge market for graduate institutions in research, mathematics, and tec

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