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In this paper, we investigate the chaos synchronization of uncertain optical chaotic systems. More precisely, we also present a systematic approach for designing a fractional-order sliding mode controller to achieve a rapid, robust and perfect chaos synchronization. By this robust controller, it is rigorously proven that the associated synchronization error is Mittag-Leffler stable. In a numerical...
This paper presents a secure image transmission based on a chaotic synchronization. Chaotic systems present unpredictable and complex behavior. These characteristics, together with the dependence on the initial conditions as well as the tolerance of this type of systems, make theme ideal for transmission. In this paper a system of encryption based on chaotic signal is proposed. This system is used...
In this paper, an adaptive fuzzy variable structure control approach is developed for a class of uncertain multi-input and multi-output (MIMO) nonlinear systems. The MIMO system under study is a strict-feedback uncertain nonlinear system with non-symmetric input nonlinearities. Variable structure control (VSC) technique in combination with backstepping is proposed to tackle the input saturation and...
In this paper, an adaptive fuzzy variable structure control approach is developed for a class of uncertain multi-input and multi-output (MIMO) nonlinear systems. The MIMO system under study is a strict-feedback uncertain nonlinear system with non-symmetric input nonlinearities. Variable structure control (VSC) technique in combination with backstepping is proposed to tackle the input saturation and...
In this paper, an adaptive fuzzy state-feedback control scheme is proposed for a class of uncertain multi-input multioutput (MIMO) nonlinear systems. The fuzzy logic systems (FLS) are used to online approximate unknown nonlinear functions. To improve the parameter convergence as well as the tracking performances, an adaptation proportional-integral (PI) law is proposed. In the control design procedure...
This paper presents an adaptive fuzzy backstepping controller (AFB) to handle the speed tracking problem of induction machines with unknown model, uncertain load-torque and nonlinear friction. The proposed AFB scheme uses adaptive fuzzy systems to reasonably approximate the uncertain dynamics appearing in the induction machine model. The backstepping concept is employed to systematically construct...
This paper investigates the fractional-order sliding mode control design to synchronize two different chaotic permanent magnet synchronous motors (PMSM). In fact, by designing a fractional-order sliding mode surface, it is proved that the corresponding synchronization error is Mittag-Leffler (or asymptotic) stable. The simulation results demonstrate that the proposed controller is robust against the...
In this paper, a fuzzy adaptive control scheme is designed to achieve a function vector synchronization behavior between two chaotic (or hyperchaotic) systems in presence of unknown dynamic disturbances and input nonlinearities. This synchronization can be considered as a generalization of many existing projective synchronization (namely the function projective synchronization, the modified projective...
This paper proposes a fuzzy approximation-based adaptive sliding-mode controller for uncertain nonlinear perturbed underactuated systems. The fuzzy logic system is used for approximating the unknown nonlinear functions. For estimating the parameters of the fuzzy systems and some unknown bounds, a set of adaptation laws are appropriately designed. The boundedness of all signals of the closed-loop system...
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