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In this paper, we study the problem of stabilizability of the nonlinear switched system with time-delay in switching signal. Firstly, some new concepts of locally and globally asymptotical or exponential stabilizability with respect to state feedback and switching law are given and then, using the method of Lyapunov function and delay inequalities, some sufficient conditions are obtained which can...
Many physical systems and processes encompass several modes of operation with a different dynamical behavior in each mode. Switching systems provide a suitable mathematical model for such processes. It is well known that the continuous states of switching systems are often non-differentiable with respect to parameters at the switching instants. However, states at these instants are often involved...
In this paper, we consider the practical set stability problem of a switched nonlinear system, in which every subsystem has one unique equilibrium point and these equilibrium points are different from each other. Based on the new concepts such as ε-practical set stability and a τ-persistent switching law, we explicitly construct a closed bounded set Γ and prove that under an appropriate τ-persistent...
The endogenous CO2 emissions are mainly from construction equipments powered with fossil fuel combustion at highway tunnel building period. These emissions from construction fossil fuel including gas, diesel, oil, coal and asphalt, are modeled and calculated to assess the effectiveness of highway construction. This paper selects a highway in western China as a case study to focus on the endogenous...
The processes of Greenhouse Gases (GHG) emissions from highway life cycle are identified. The emissions from whole highway life cycle are composed by the parts of construction and operation periods, respectively, which are greatly influenced to each other. Meanwhile, GHG emissions at highway full periods can be separated into the endogenous and exogenous components, between which is interrelated and...
In this paper, we propose a novel model for unsupervised Chinese event extraction. We use a multi-information fusion technique to combine two kinds of information for knowledge representation of event instances: language features and structure information. Then, we perform our proposed XLS-means Clustering Algorithm to group the candidate event instances into a "natural" number of clusters,...
Relation Extraction is an important research field in Information Extraction. In this paper, we present a novel mixed model to extract relation between named entities in Chinese, which combines the merits of both feature based method and tree kernel based method. Feature based method captures the language information of the text, while, the tree kernel based method shows the structured information...
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