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State of the art UAV technology shows its advantage in both civil and military applications, and it is required to meet the needs for payloads special designed for UAVs. However, electric powered multi-rotor UAV provides limited power and more sensitive to the payloads mass. Linear frequency modulated quasi continuous wave SAR leads to small and efficiency radar system which meets multi-rotor UAV's...
Hyperspectral data unmixing has attracted considerable attention in recent years. Hyperspectral data may however suffer from varying levels of signal-to-noise ratio over spectral bands. In this paper, we investigate a robust approach for nonlinear hyperspectral data unmixing. Each observed pixel is modeled as a linear mixing of endmember spectra with nonlinear fluctuations embedded in a reproducing...
Aimed at the problems that SAR (Synthetic Aperture Radar) environment parameter inversion and data processing are lack of both overall design and synergy, this paper proposed a novel unification scheme for environmental remote sensing application. Compared to the reality that application follows data processing in the frontend, the performance of application is highlighted as the ultimate objective...
The weapon target assignment (WTA) problem is a fundamental problem arising in defense-related applications of operations research. And the multi-stage weapon target assignment (MWTA) problem is the basis of dynamic weapon target assignment (DWTA) problems which commonly exist in practice. The MWTA problem considered in this paper is with uncertainties, namely the uncertain MWTA (UMWTA) problem, and...
In this work, we first discuss details about a novel motion planning approach for robot point to point reaching tasks called stable estimator of dynamical systems (SEDS). A human operator first demonstrates reaching movements several times, and Gaussian Mixture Model and Gaussian Mixture Regression are used to roughly encode human demonstrations through a first order ordinary differential equation...
Although Synthetic Aperture Radar (SAR) can capture rich land cover information as a most important advanced technique in the field of international earth observation, the application effects still limited significantly. One of the reasons is that the study of SAR imaging processing, SAR image processing and SAR applications are usually conducted respectively, and the study on integrating the three...
Ionospheric effect is considered to be one of the factors limiting the accuracy of deformation measurement acquired from interferometric SAR data. The correction of this error source was studied recently, and some new methods was developed and improved. One of these methods is the range Split-Spectrum. In this work, we introduce a new algorithm for implementing the method. An improvement is made,...
Sequence Alignment is an important means to study the function, evolution and similarity of biological sequences. There are a lot of Sequence Alignment algorithms available for free, but it's not easy to access, call and use. In this article, we analyzed the characteristics of each Sequence Alignment algorithm for digging the different advantages. Then they were integrated into a Web-based Sequence...
In this paper, we first propose a self-tuning adaptive distributed observer for a multi-agent system, which is capable of providing the estimation of the leader's signal to various followers without assuming all the followers know the system matrix of the leader and which avoids calculating the observer gain off-line. We then further develop an adaptive distributed control law to solve the cooperative...
In this paper, we study the robust consensus problem of a network of general discrete-time linear agents coordinating through unreliable communication channels. Two neighboring agents exchange information via a communication channel, which is modeled in this paper as an ideal transmission system subject to a multiplicative stochastic uncertainty. This uncertain channel model includes the commonly...
In this paper, a distributed fault detection and isolation (FDI) strategy, based on the output estimation, is proposed to deal with the additive type of faults for a class of linear multi-agent systems using only relative information. Firstly, by applying a series of model transformations, a new fault detection model which can estimate the neighbours' nominal outputs by solving linear system equations...
In this paper, we propose a new data-driven transform, called sparse two-dimensional singular value decomposition (S2DSVD). By leveraging the advantages of discrete cosine transform and the conventional 2D SVD, we decompose a set of matrices into transform coefficient matrices with sparse and orthogonal basis functions. Such sparsity characteristic can significantly reduce their overhead, hence being...
Coordinated target tracking for a team of two heterogeneous Unmanned Aerial Vehicles (UAVs) is discussed. In order to study the coordinated relationship by means of distances of UAV-to-target and UAV-to-UAV, a constraint of distances coordination is proposed. Differing from the traditional studies that focus on angular separation or communication connectivity for UAVs, this constraint takes the effect...
A sequential procedure for non-Bayesian multiple change-point problems subject to false discovery rate (FDR) control is considered. The procedure may be viewed as a variant of Benjanmini and Hochberg's procedure tailored for change-point detection problems. A theoretical guarantee for the procedure's FDR is established. Further, sequential procedures that control the FDR and the familywise error rate...
In order to reduce the memory requirement, and obtain real-time status of equipment, the paper proposed to use the the on-line random forests (ORFs) algorithm to identify sensor fault. The sample set is derived from Tennessee Eastman (TE) process. The models are updated by a group of sensor data, which are collected in each interval. As models are real-time and dynamic, the equipment could be tested...
In this paper, we investigate the multi-coordination problem of a group of coupled nonidentical agents under partial impulsive control. The main feature of multi-coordination behavior is that the connected network is separated into subgroups, and the agents in the same group are of quasi-synchronization, while there is no synchronization among different groups. To make the agents achieve this collective...
In this paper, we analyze the warranty data in after sales service, considering the reliability characteristic parameters of spare parts in use (MTBF), supply characteristics (replenishment lead time and supplier scarcity), part cost and part criticality. This paper constructs a multi-criteria classification model for ABC classification of spare parts by using intelligent machine classification approaches...
In this paper, the problem of H∞ filtering for networked singular systems with an event-triggered scheme is investigated. With a modified event generator, remote sensor evaluates the periodically sampled data and only transmits those violate a certain event-triggered condition, and thus reduces the communication burden. The filtering error system is converted into a time-delay system model which can...
Compared to active triangulation systems, the binocular vision ones have the superiority of low cost and small size for real-time 3-D sensing. The guided-filter driven stereo matching is state-of-the-art from the viewpoints of denseness and edge-preserving. However, as most of stereo matching algorithms, the high computation and storage prevent the guided-filter driven one from being integrated on...
Object proposal has been successfully applied in recent visual object detection approaches and shown improved computational efficiency. The purpose of object proposal is to use as few as regions to cover as many as objects. In this paper, we propose a strategy named Texture Complexity based Redundant Regions Ranking (TCR) for object proposal. Our approach first produces rich but redundant regions...
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