Mohammad Taghi Hamidi Beheshti

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In this paper a Local Linear Radial Basis Function Neural Network (LLRBFN) is presented. The difference between the proposed neural network and the conventional Radial Basis Function Neural Network (RBFN) is connection weights between the hidden layer and the output layer which are replaced by a local linear model in the LLRBFN. A modified Particle Swarm(More)
Real time network applications require effective mechanisms for managing Internet traffic in order to avoid or at least limit the level of congestion. We propose, design and analyze an Active Queue Manager (AQM) for controlling jitter using robust control theory. We used an output feedback controller and this controller is based on discrete-time model of(More)
In this paper, based on the idea of nonlinear observer, a drive-response synchronization method with linear output error feedback is presented for generalized projective synchronization (GPS) of a class of fractional-order hyperchaotic systems via a vector transmitted signal. Through this, the approach arbitrarily scales a drive system attractor and hence a(More)
In this paper, adaptive synchronization of uncertain hyperchaotic Lorenz systems is investigated. Based on the Lyapunov stability theory, a novel nonlinear controller is designed and adaptive schemes are derived to guarantee the global asymptotical stability of the origin of considered system when the parameters of slave system are uncertain. Finally,(More)
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In this paper, we consider robust regulation of a class of nonlinear systems, via ∞ H controller using singular perturbation approach. First, using normal form equations, we eliminate the nonlinear part of the system matrix of equations of system and transform it to a linear diagonal form. Separating new equations to slow and fast subsystems, due to the(More)
In this paper, we address global non-fragile control and synchronization of a new fractional order chaotic system. First we inspect the chaotic behavior of the fractional order system under study and also find the lowest order (2.49) for the introduced dynamics to remain chaotic. Then, a necessary and sufficient condition which can be easily extended to(More)