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Jump random noises exist widely in control systems. In this paper, the guaranteed cost control problem for uncertain systems perturbed by jump random noises is considered. By adopting Poisson process to describe jump random noises, this paper utilize martingale theory to design a controller, which can stabilize such stochastic systems and guarantee the specified cost function has an upper bound.
In this paper, we reveal the importance and benefits of introducing second-order operations into deep neural networks. We propose a novel approach named Second-Order Response Transform (SORT), which appends element-wise product transform to the linear sum of a two-branch network module. A direct advantage of SORT is to facilitate cross-branch response propagation, so that each branch can update its...
This paper addresses a local formation tracking control for multiple first-order agents in 3D space, where each agent's trajectory converges to the given super-ellipsoid and the tracking target is movement with an unknown speed. Differing from the using of GPS in the literature, a new distributed solution is given based on local measurements of relative position. To develop the spherical formation...
We have performed terahertz (THz) spectroscopy to detect ultrafast motion of a single atom in a single endohedral metallofullerene Ce@C82 molecule. Using the source and drain electrodes separated by a sub-nm gap, we focus THz radiation onto a single Ce@C82 molecule trapped by the nanogap electrodes. When the molecule is illuminated with THz radiation, THz-induced photocurrent is observed. We explain...
A broadband dual-polarized antenna is proposed. The proposed antenna has Γ-shaped feed strips to impart a wide impedance bandwidth to it, and a rectangular parasitical patch, which can widen the E-plane half power beamwidth (HPBW) over the operating frequencies. The antenna is capable of realizing two orthogonal linear polarizations and a circular polarization respectively when different feeding approaches...
This paper addresses how to select observed agents and controlled agents in a multi-agent system such that the system is structurally controllable with minimum cost of control and measurement. Firstly, we model the design issue as a minimum cost control configuration (MCCC) design problem of a bilinear system. Next, a necessary condition for the solvability of MCCC is derived. Then, an algorithm is...
This article considers the robust cooperative control problem of multiple double-integrator agents' formation moving around a set of given curves on spheres, where each agent suffers an unknown spatiotemporal flowfield and the communication topology among agents is directed. The flow specification is composed of a general direction matrix and a responding unknown flow speed vector, which includes...
This paper studies the consensus based Kalman filtering problem for discrete-time linear systems in sensor networks. Considering the fact that just part of sensors in the network can measure the target, the filtering algorithms of the sensors are assigned differently according to the availability to get the direct measurements. For the sensors that can directly get the measurement outputs, we call...
We have introduced a novel metro network architecture called Ultra-Dense Wavelength Switched Network (UD-WSN) [1], which enables an even fine spectrum granularity so as to efficiently accommodate low-speed metro services (e.g., 1GE/10GE services). We evaluate the performance of this type of networks with spectrum defragmentation and partial optical transport network (OTN) switching. An efficient spectrum...
As human is the final receptor of images, user-perceptive quality of images need to be scaled by subjective quality assessment method, which is also important for learning a high performance of objective image quality assessment model. There are characteristics of randomness and individual difference among subjective testers. Those scores made by unreliable subjects that may affect the scaling of...
Stereoscopic 3D (S3D) image technology has been extensively developed in the last decades. Visual discomfort such as eye strain, headache, fatigue, asthenopia, and other phenomena leading to a less pleasant viewing experience is still a potential issue in S3D applications. How to evaluate S3D image quality that related to visual discomfort is still a challenging problem. A larger number of studies...
The error of fiber optic gyroscope (FOG) seriously affects the positioning accuracy of inertial navigation system. The temperature of the environment seriously affects the accuracy of FOG. And the temperature error mathematical model of fiber optic gyroscope is analyzed. Based on the function fitting capability of support vector machine (SVM), a new modeling and compensation method for gyroscope temperature...
The Kalman filter (KF) is the most common method for the estimation problems of the integrated SINS/GNSS system, but its performance depends on the correct a priori knowledge of model dynamics and noise statistics. The GNSS measurement noise uncertainties will degrade the performance of the KF for the fixed measurement noise covariance matrix. To fulfill the accuracy requirements of the dynamic system,...
Distance metric learning focuses on learning one global or multiple local distance functions to draw similar instances close to each other and push away dissimilar ones. Most existing work has to do matrix projection to learn distance functions. In this paper, we present a novel distance function learning model which is based on eigenvalue fine tuning. Our model not only is able to learn the global...
This paper considers a single-phase grid-connected converter in the presence of non-linear loads. A local voltage support strategy is proposed to compensate the harmonics caused by the loads. This is an added feature implemented in parallel with a conventional current control method, and distinctively, it does not need measurements of the grid or load current. The converter output current consists...
An advertising campaign is usually composed of a series of coordinated advertisements, with various formats and delivered through different media channels. Several existing studies have attempted to measure the individual contribution of related advertisements in a campaign, resulting in rule-based and data-driven multi-touch attribution models. However, most of these models ignored the interaction...
A wideband circularly polarized (CP) bowtie dipole antenna is proposed for wireless applications. By employing the bowtie-shape dipoles, the proposed antenna can achieve a wide impedance bandwidth. Meanwhile, by integrating with a curved-delay line which provides a 90 ° phase difference, the proposed antenna can radiate a CP pattern. Four parasitic square patches are utilized around the radiation...
Contextual aware matrix factorization has been widely used in recommender systems by learning latent feature vectors of users and items along with contextual information. While most of them add identical bias for each type of side information to represent systematic tendencies in users' rating behaviors, they are not able to capture the preference unique to users or items. In this paper, we propose...
Based on the assumption of finite alphabet inputs, the precoding design for MIMO interference channels (MIMO-IC) is proposed by exploiting statistical channel state information (SCSI) at the transmitter. Most of the related precoding design relies on Gaussian input assumption instead of discrete constellation symbols. However, the input data consist of discrete constellation symbols in practice, which...
Cross-domain clothing retrieval is a challenging task due to significant differences between online shop images taken in controlled conditions of clean backgrounds, good lighting, and fixed poses, and street photos captured in uncontrollable conditions. In recent years, Convolutional Neural Networks (CNNs) have demonstrated its effectiveness for various computer vision problems including image retrieval...
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