Iman Saboori

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In this paper we present a novel approach for wavelet compression of electrocardiogram (ECG) signals based on the set partitioning in hierarchical trees (SPIHT) coding algorithm. SPIHT algorithm has achieved prominent success in image compression. Here we use a modified version of SPIHT for one dimensional signals. We applied wavelet transform with SPIHT(More)
This paper introduces a new decentralized adaptive neural network controller for a class of large-scale nonlinear systems with unknown non-affine subsystems and unknown interconnections represented by nonlinear functions. A multilayer feedforward neural network is used to represent the controller’s structure. The ultimate boundedness of the closed loop(More)
This paper presents a nonlinear adaptive observer based on multilayer perceptron (MLP) neural networks, which is indeed a nonlinear-in-parameters neural network (NLPNN), for a class of nonlinear systems including chaotic systems in which all MLP weights are tuned on-line. These systems can be decomposed into linear and nonlinear parts. It is assumed that(More)
This paper presents a decentralized adaptive controller for a class of large-scale nonlinear systems with unknown subsystems. A direct adaptive controller is devised based on Lyapunov stability analysis so that the stability of the closed loop system is guaranteed by introducing a suitably driven adaptive rule. To show the effectiveness of the proposed(More)
This paper presents a hardware-in-the-loop implementation of magnetic levitation (Maglev) system. We established a laboratory setup for Maglev to test different control algorithms. Here a real-time control algorithm based on PID to keep the overall control closed-loop system stable is fully reported. The Experimental result clearly approved the(More)