In this paper, we present a new method for X-ray angiogram images enhancement using a contrast-modulated nonlinear diffusion. The original nonlinear diffusion is gradient driven, which leads into much dependence on th...
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This paper proposed a resilient distributed predefined-time sliding mode control for islanded AC microgrids with external disturbances caused by noisy circumstances or cyber-attacks. By utilizing the predefined-time c...
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This paper proposed a resilient distributed predefined-time sliding mode control for islanded AC microgrids with external disturbances caused by noisy circumstances or cyber-attacks. By utilizing the predefined-time convergence theory, the voltage regulation and frequency restoration as well as active power sharing can be achieved within a predefined time, which is directly equal to an adjustable parameter. Furthermore, based on the integral sliding mode control approach, the proposed method can completely compensate the external disturbance. Different from some voltage control methods based on complex second-order consensus, a novel secondary controller is designed by adopting the virtual control technique, such that the voltage regulation can be achieved under a first-order consensus with a corresponding tracking controller. In addition, the direct Lyapunov method is utilized to prove the stability of islanded AC microgrids under the proposed controller, and the analysis of predefined-time convergence is also given. Finally, case studies on a microgrid test system with four distributed generator is built in the MATLAB/SimPowerSystems software environment are conducted to demonstrate the effectiveness and superior performance of the proposed control scheme.
The global asymptotic stability of fuzzy cellular neural networks with unbounded time-varying delays and Lipschitz continuous activation functions is investigated in this brief. Based on the concept of comparison, som...
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image fusion is an important tool in remote sensing, since many Earth observation satellites provide both high-resolution panchromatic (Pan) and low-resolution multispectral (MS) images. To date, many image fusion tec...
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ISBN:
(纸本)9780819469519
image fusion is an important tool in remote sensing, since many Earth observation satellites provide both high-resolution panchromatic (Pan) and low-resolution multispectral (MS) images. To date, many image fusion techniques have been developed. However, the available algorithms can hardly produce a satisfactory fusion result for IKONOS and QuickBird images. Among the existing fusion algorithms, the IHS technique is the most widely used one, and the wavelet fusion is the most frequently discussed one in recent publications because of its advantages over other fusion techniques. But the color distortion of these two techniques is often obvious. The support value fusion technique demonstrates some advantages over the conventional methods. This study presents a new fusion approach that integrates the advantages of both the IHS and the support value techniques to reduce the color distortion of QuickBird fusion results. Different QuickBird images have been fused with this new approach. Visual and statistical analyses prove that the concept of the proposed extended fast IHS (eFIHS) and support value integration is promising, and it does significantly improve the fusion quality compared to conventional IHS (eFIHS) and wavelet fusion techniques.
Spectrum mapping reflects the strength of brain electrical activity in different frequency *** current study analyzes changes in electroencephalography(EEG) after spinal cord injury(SCI) on the basis of spectrum *** s...
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ISBN:
(纸本)9781467358873
Spectrum mapping reflects the strength of brain electrical activity in different frequency *** current study analyzes changes in electroencephalography(EEG) after spinal cord injury(SCI) on the basis of spectrum *** spectrum mappings of SCI patients and normal subjects,the fact that beta rhythm dominated in brain electrical activity during walking period was *** addition,the proportion of delta wave increased and slightly exceeded that of beta wave after spinal cord injury and power values in delta band of SCI patients performed greater than that of normal subjects.
RNA-binding proteins (RBPs) are essential for gene expression, and the complex RNA-protein interaction mechanisms require analysis of global RNA information. Therefore, accurate prediction of RBP binding sites on full...
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OFDMA-based network performs well in maximizing the overall throughput, and meanwhile, problems with security requirements are focused to satisfy the increasing needs of confidential data transmissions. According to i...
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This study addresses the complexities of orchestrating multi-target transportation tasks within multi-agent systems, constrained by load capacity. The primary objective is to engineer an advanced path planning framewo...
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Micromanipulation robot is a system which often does some precise manipulations in micro scale space, such as centimeter or millimeter level space, in which micro visual servo system plays a very important role. In vi...
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Visual servoing has been around for decades, but the time delay is still one of the most troublesome problems to achieve maneuvering target *** circumvent the problem, in this paper, the Kalman filter is employed to e...
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Visual servoing has been around for decades, but the time delay is still one of the most troublesome problems to achieve maneuvering target *** circumvent the problem, in this paper, the Kalman filter is employed to estimate future position of the maneuvering *** order to introduce the Kalman filter, the accurate time delays, which include the processing lag and the motion lag, need to be ***, the delays of the visual control servoing systems are discussed, and a generic timing model for the system are ***, we present a current statistical model for maneuvering *** adaptive Kalman filter, which is evolved from the Kalman filter, is put forward based on the current statistical *** results show that the modified adaptive filter can improve the ability of maneuvering target tracking.
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