Foroogh Motallebzadeh

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In this paper, the problem of controlling chaotic uncertain brushless dc motor, exposed to external disturbances, is considered. Two different methods, feedback linearization and sliding mode control, are used to suppress chaos and regulate the system around one of its unstable equilibrium points. Although being able to do the job of regulating and also(More)
In this paper, the problem of controlling chaos in Arneodo chaotic system is considered for the first time. Three different methods, feedback linearization, backstepping design and sliding mode control, are used to suppress chaos and regulate the system around one of its unstable equilibrium points. Simulation results show that all these three methods are(More)
Robust synchronization of two hyperchaotic Wang systems is investigated in this paper, using sliding method. In the sliding mode control algorithm, two different sliding surfaces are defined to both stabilize the synchronization error dynamic and guarantee the prescribed disturbance attenuation. The stability of the system is proven using Lyapunov stability(More)
In this paper, an adaptive algorithm is proposed for reduced-order synchronization of chaotic systems with different orders. Since the exact model of the system is not known a priory in real applications, or the parameters may change with time, adaptive control strategy is applied to make states of the slave system track those of the master, despite the(More)
In this paper, reduced-order synchronization of uncertain chaotic neuron models with different orders is investigated. The identifier and controller modules are designed completely independently. A modified recursive least square algorithm is used to identify the unknown parameters of the slave system, and the control module is designed based on optimal(More)
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