A support vector algorithm for detecting endmembers in a hyperspectral image is introduced. It is a novel method for finding the spectral convexities in a high-dimensional space which addresses several limitations of ...
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This paper discusses the minimization of the line- and motor-side harmonics in a high power current source drive system. The proposed control achieves speed regulation over the entire speed range with enhanced transie...
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This paper discusses the minimization of the line- and motor-side harmonics in a high power current source drive system. The proposed control achieves speed regulation over the entire speed range with enhanced transient performance and minimal harmonic distortion of the line and motor currents while limiting the switching frequency of current source converters to a maximum of 540 Hz. To minimize the motor current harmonic distortion, space vector modulation (SVM) and selective harmonic elimination (SHE) schemes are optimally implemented according to different drive operating conditions. In order to suppress line- side resonant harmonics, an active damping method using a combination of a virtual harmonic resistor and a three-step modulation signal regulator is employed. The performance of the proposed current source drive is verified by simulation for a 1 MVA system and experiments on a 10 kVA gate-commutated thyristor (GCT) based laboratory drive system.
Observer-based adaptive fuzzy H∞ control is proposed to achieve H∞ tracking performance for a class of nonlinear systems, which are subject to model uncertainty and external disturbances and in which only a measurem...
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Observer-based adaptive fuzzy H∞ control is proposed to achieve H∞ tracking performance for a class of nonlinear systems, which are subject to model uncertainty and external disturbances and in which only a measurement of the output is available. The control scheme is tested in the cart-pole balancing problem. [ABSTRACT FROM AUTHOR]
In this paper, we present a DEA approach to measure the relative efficiency of applicants to the graduate programs in engineering. The proposed performance criteria are determined depending on the current evaluation c...
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An efficient target detection algorithm for infrared sequence image with sea-sky background is presented. For the big none-Gaussian noises and the none-linear movement of the target, the algorithm is established mainl...
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An efficient target detection algorithm for infrared sequence image with sea-sky background is presented. For the big none-Gaussian noises and the none-linear movement of the target, the algorithm is established mainly on the basis of the sequential Monte Carlo (SMC) method. The algorithm uses the statistic values of the target's feature image to change the weight of the particles which are produced by Monte Carlo sampling, and the target is detected and tracked based on the control of these weights. The difference image is used as the feature image. The experimental results demonstrate the effectiveness and real-time efficient of the algorithm.
We propose to use attribute grammars for recognizing normal events and detecting abnormal events in a video. Attribute grammars can describe constraints on features (attributes) in addition to the syntactic structure ...
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In this paper, we present a fuzzy singularly perturbed model (FSPM) for the dynamics of a flexible-link manipulator. We extend the Takagi-Sugeno model to approximate the dynamics of the flexible-link manipulator by so...
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A typical servicing operation in space mainly includes three phases: capturing the target, berthing and docking the target, and repairing the target. The attitude of a satellite usually changes after the capturing, be...
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This paper presents a filter bank (FB) analysis of parallel Magnetic Resonance Imaging (pMRI). The underlying image reconstruction strategies of the most widely used pMRI reconstruction methods are unified within the ...
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