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This work is to propose a new sliding mode observer (SMO) for systems described by continuous-time models but subject to discrete-time measurements. One of the important features of the SMOs is their robustness to disturbances and/or uncertainties in applications to control systems such that they are very important tools for robust system state estimation. For convenience of stability analysis, the...
In view of the actual situation in the port of Tianjin, to overcome the traditional BP neural network method in the prediction model, such as low efficiency and poor accuracy of faults, the paper puts forward a kind of prediction model based on principal component analysis (PCA) and BP neural network. In this approach, use PCA to reduce the dimension of the original data, so as to achieve the purpose...
This paper focuses on an internal model tracking control problem of an uncertain impulsive switched system. The contribution of this study is to develop an internal model tracking control law integrated with the guaranteed cost control algorithm for uncertain impulsive switched systems. Firstly, an uncertain impulsive switched system with guaranteed cost control is stated and some important theorems...
According to the complexity and the uncertainty in selecting cooperative partner of virtual research center (VRC), a novel evaluation model based on support vector machine and fuzzy analytic hierarchy process (SVM-FAHP) was proposed. The partner selection for the Yalong River hydropower development VRC was presented as an example and a comparison with the previous models was performed. It's showed...
Current I/O techniques have pushed the write performance close to the system peak, but they usually overlook the read side of problem. With the mounting needs of scientific discovery, it is important to provide good read performance for many common access patterns. Such demand requires an organization scheme that can effectively utilize the underlying storage system. However, the mismatch between...
Despite great efforts to control the spread of tuberculosis (TB), the disease remains stubbornly persistent, having infected one third of the world population, and causing more than 1.5 million deaths annually. To better understand the epidemiology of TB, past modeling efforts have sought to understand how TB prevention and control policies affect infection spread in the population. This paper describes...
Venation and contour of plant leaves are significant for many agronomic applications, such as the identification of plant species, the exploration of genetic relationship among plants and the 3D shape reconstruction of leaves. This paper presents a method for extracting leaf vein and contour from point cloud data. Firstly, leaf veins were extracted by using the curvature information of the point cloud,...
In this paper, we proposed a new data fusion method to infer gene regulatory networks based on differential equations model. After testing on several simulation and real data sets, and comparing with three other kinds of single fusion methods, the results show that our method is effective and better than other 3 fusion methods in inferring networks.
Social network systems (SNSs) such as Facebook and Twitter have recently attracted millions of users by providing social network based services to support easy message posting, information sharing and inter-friend communication. With the rapid growth of social networks, users of SNSs may easily get overwhelmed by the excessive volume of information feeds and felt challenging to digest and find truly...
Land use change (LUC) model is fundamental in decision making process for regional sustainable development. It is practically important to analyze LUC in rapidly urbanizing region, such as Panyu District of Guangzhou, China, where a fast economy development makes it necessary to study the rule of urban land use change. Taking time-spatial land use change as the key point, a case study is carried out...
Precipitation is an important meteorological element widely used in rainfall-induced landslide forecasting. Most existing studies on rainfall-induced landslide forecasting focus on the determination of forecasting models and parameters. Five transformation methods of precipitation are evaluated in this paper to improve the forecasting models through a case study of Shenzhen, based on rain gauge observation...
One of the key issues related to object tracking is the representation of the object motion. It is a challenging problem because the object usually exhibits complex and rich dynamic behavior. In this paper, we propose an adaptive dynamic model to describe the dynamics/motion of the object and embed it into the particle filter framework for visual object tracking. The model characterize the object...
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