This paper is concerned with the iterative learning control(ILC) problem for discrete-time systems with iterationvarying *** the so-called super-vector approach to ILC,the discrete domain bounded real lemma is employe...
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This paper is concerned with the iterative learning control(ILC) problem for discrete-time systems with iterationvarying *** the so-called super-vector approach to ILC,the discrete domain bounded real lemma is employed to develop a sufficient condition ensuring both the stability and the desired H∞ performance of the ILC *** is shown that this sufficient condition can be presented in terms of linear matrix inequalities(LMIs),which can also determine the learning gain matrix.A numerical simulation example is included to validate the theoretical results.
Nowadays, there are commercial tools that allow automatic generation of text summaries. However, it is not known the quality of the generated summaries and the method that it is used for the generation of the summarie...
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Nowadays, there are commercial tools that allow automatic generation of text summaries. However, it is not known the quality of the generated summaries and the method that it is used for the generation of the summaries using these commercial tools. This paper provides a study about the commercial tools such as Copernic Summarizer, Microsoft Office Word Summarizer 2003 and Microsoft Office Word Summarizer 2007, with the objective to detect which of them gives the summaries more similar to those made by a human. Furthermore, the comparison between commercial tools and state-of-the-art methods is realized. The experiments were carried out using DUC-2002 standard collection which contains 567 news in English.
This paper is devoted to the consensus control for a network of autonomous agents with high-dimension linear coupling dynamics and subject to external disturbances. By transforming the consensus control problem into a...
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This paper is devoted to the consensus control for a network of autonomous agents with high-dimension linear coupling dynamics and subject to external disturbances. By transforming the consensus control problem into an H infin control problem, we propose a distributed state feedback protocol, and obtain conditions in terms of linear matrix inequalities (LMIs) to ensure the consensus with a prescribed H infin performance level for networks with zero and nonzero communication delays, respectively. Furthermore, the undetermined feedback matrix of the proposed protocol is also solved. A numerical example is included to validate the theoretical results.
This paper proposes an adaptive multi-class support vector machine for simultaneous microarray classification and gene selection. By evaluating the gene ranking significance, the adaptive multi-class support vector ma...
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This paper proposes an adaptive multi-class support vector machine for simultaneous microarray classification and gene selection. By evaluating the gene ranking significance, the adaptive multi-class support vector machine is shown to encourage an adaptive grouping effect in the process of building classifiers, thus leading a sparse multi-classifiers with enhanced interpretability. Based on a reasonable correlation between the two regularization parameters, an efficient solution path algorithm is developed for solving the proposed support vector machine. Experiments performed on the leukaemia data set are provided to verify the obtained results.
Modeling the navigation structure of a dynamic Web application is a challenging task because of the presence of dynamic pages. In particular, there are two problems to be dealt with: (1) the page explosion problem, i....
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Modeling the navigation structure of a dynamic Web application is a challenging task because of the presence of dynamic pages. In particular, there are two problems to be dealt with: (1) the page explosion problem, i.e., the number of dynamic pages may be huge or even infinite; and (2) the request generation problem, i.e., many dynamic pages may not be reached unless appropriate user requests are supplied. As a user request typically consists of multiple parameter values, the request generation problem can be further divided into two problems: (1) How to select appropriate values for individual parameters? (2) How to effectively combine individual parameter values to generate requests? This paper presents a combinatorial approach to building a navigation graph. The novelty of our approach is two-fold. First, we use an abstraction scheme to control the page explosion problem. In this scheme, pages that are likely to have the same navigation behavior are grouped together, and are represented as a single node in a navigation graph. Grouping pages reduces and bounds the size of a navigation graph for practical applications. Second, assuming that values of individual parameters are supplied by using other techniques or generated manually by the user, we combine parameter values in a way that achieves a well-defined combinatorial coverage called pairwise coverage. Using pairwise coverage can significantly reduce the number of requests that have to be submitted while still achieving effective coverage of the navigation structure. We report a prototype tool called Tansuo, and apply the tool to five open source Web applications. Our empirical results indicate that Tansuo can efficiently generate Web navigation graphs for these applications.
In this paper, the property of practical input-to-state stability and its application to stability of cascaded nonlinear systems are investigated in the stochastic framework. Firstly, the notion of (practical) stoch...
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In this paper, the property of practical input-to-state stability and its application to stability of cascaded nonlinear systems are investigated in the stochastic framework. Firstly, the notion of (practical) stochastic input-to-state stability with respect to a stochastic input is introduced, and then by the method of changing supply functions, (a) an (practical) SISS-Lyapunov function for the overall system is obtained from the corresponding Lyapunov functions for cascaded (practical) SISS subsystems.
The focus of this paper is a construction of better knowledge base in case-based classifier system. Our knowledge base structure is based on concept lattice where rules are built from its subconcept-superconcept relat...
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ISBN:
(纸本)9781605580463
The focus of this paper is a construction of better knowledge base in case-based classifier system. Our knowledge base structure is based on concept lattice where rules are built from its subconcept-superconcept relation. Since the lattice can only be constructed from inputs with binary attributes, descriptive and numeric attributes must be transformed to binary attributes. In this paper, we propose the transformation of numeric attributes to descriptive attributes using fuzzy set theory. We experiment on benchmark data sets, Car and Iris, to determine the performance in term of number of rules used and classification precision. The results show that trend of accuracy is proportional to the size of learning inputs. The number of rules used is relatively small compared with size of training data. Our case-based classifier produces very promising results in practice and can classify the new problem more accurate than traditional classifiers. Copyright 2008 ACM.
It is becoming increasingly important to be able to adapt an application's behavior at run time in response to changing requirements and environmental conditions. Adaptive programs are typically difficult to speci...
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We propose an architecture-based testing and reliability framework for mobile applications. During our literature study, we explored some of the software testing and reliability techniques available, as well as invest...
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Approaches to software process development that are based on the principles and practices of softwareengineering have been advocated by many researchers as a means to produce software processes that meet the needs of...
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ISBN:
(纸本)1601320884
Approaches to software process development that are based on the principles and practices of softwareengineering have been advocated by many researchers as a means to produce software processes that meet the needs of process users. Such approaches require methodical and repeatable verification and validation techniques that enable effective and efficient identification, analysis and correction of software process defects. Defect classification schemes have proven to be effective for characterizing and improving the quality of software products. It is reasonable, therefore, to suggest that a similar scheme for the classification of process defects may provide comparable support to those performing software process engineering activities. This paper proposes a defect typology that can be used to classify software process defects as definition, asset, context or documentation problems. The paper then discusses potential applications of the typology to software process verification and validation and concludes by suggesting areas for further research.
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