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This paper investigates the problems of robust D-stability and D-stabilization for linear discrete uncertain descriptor systems ties in the whole system matrices cover that in the coefficient matrix E. We assume that the coefficient matrix E is rank-invariant, that is, rank(E) = r ≤ n for all admissible uncertainties. Thus, we consider the robustness analysis problem as two cases: the right-descriptor...
This paper takes a rational perspective to study the causes and cures of collaborative projects failure in the organizations. It shows that project cooperation failure may result from two causes: project members' private information (with respect to their preferences and/or outside options) as well as their incentives to misrepresent - explicitly and implicitly - that information; and failure to build...
According to the actual circumstance of the intersection, reasonably adjusting traffic light time can help to ease traffic pressure and save transportation time. In this paper, Interval type - 2 fuzzy sets and matched-degree are applied to the time of intersection signal adjusting, and five words are used to cover the range of adjusting lights' time, finally according to the average number of stranded...
The topicality of the task of power systems regimes optimization is significantly improved under the conditions of market economy. Developing the tasks for optimization of the regimes of electrical stations and power systems the changing of the optimization criteria should be considered as a significant innovation. The power station regime optimization is stochastic, multi-dimensional, multi-parameter...
The paper considers input observer based control of uncertain systems. A generalization of a simple input observer, that has been previously used in several automotive applications, is described and merged with a disturbance cancelation controller. The resulting control scheme enjoys semi-global practical closed-loop stability properties, i.e., under suitable assumptions it achieves an arbitrarily...
We apply the suboptimal sequential nonparametric hypotheses testing approach for effectiveness of a statistical decision by sample space reducing. Numerical examples of the sample space reducing are given when an appropriate reducing makes it possible to construct robust sequential nonparametric hypotheses testing with a smaller mean duration time then one on the total sample space.
A fire safety evaluation index system of underground parking area was proposed. To solve the problem of uncertainty in underground parking area fire safety assessment, the paper introduced D-S evidence theory and AHP to the assessment. The weights of each index were obtained by AHP and the quantitative value of the security level of each evaluation index was calculated using the D-S evidence theory...
Despite the recognized importance of self-directed and lifelong learning for today's graduates, the processes by which learners become self-directed, and the roles that pedagogy and learning climate play in these processes, remain unclear. To better understand students' growth as lifelong learners, we conducted a two-year pilot study of engineering students at two institutions. The study approach...
We propose a method for fair and accurate assessment of group work based on trust networks generated by mutual evaluations. Group work is often used for educational activities in universities since it is an effective way to acquire useful knowledge in a number of practical subjects. One drawback is the difficulty of deciding on final marks. Some students may work quite hard whereas others may rarely...
D-S evidence theory has been widely used in various fields of information fusion due to its efficiency in dealing with uncertain information. Unfortunately, combination of conflicting evidences with the classical Dempster's rule may produce the counter-intuitive results. In this paper, Definitions of correlation coefficient and credibility are first presented, followed by the introduction of evidence...
This paper proposes a generalized joint probabilistic (JPDA) filter for tracking multiple maneuvering targets in situations of observations with unknown random characteristics. In the proposed filter, the joint association probabilities in the standard JPDA filter are reconstructed by utilizing the generalized association probabilities of observations belonging to the targets. To calculate the generalized...
Hofstede's theory of national cultures has been widely used to analyze cultural differences. In this pilot study we describe our experiences applying an instrument based on Hofstede's work to determine whether his dimensions of national cultures can be mapped to academic disciplines. In this paper, we present information about Hofstede's model as well as critiques of both the model and the instrument...
Information theory was introduced by Shannon in 1948 and it includes the study of uncertainty measures. Analogous to information theory which is based on probability theory fuzzy set theory was developed by Zadeh in 1965 which is a mechanism to manage uncertainty. The pedestal for present study is information theory and fuzzy set theory which is termed as fuzzy information theory. In this paper a...
Voltage and frequency regulations are main requirements for autonomous operation of an isolated microgrid with electronically interfaced distributed energy resource (DER) units. This paper presents a robust decentralized control design scheme for a multi-DER microgrid to enhance its voltage and frequency regulations. The proposed control scheme utilizes linear quadratic (LQ) decentralized control...
In recent years, extensive research found that although a series of relationships between vertices in large-scale biological networks seemingly erratic, there are many frequently occurring sub-structures, and the number of these sub-structures is significantly more than that appears in randomly generated network. Experiments show that these sub-structures often have very important biological significance,...
This paper provides more detailed information on the application of the International Performance Measurement and Verification Protocol (IPMVP) guideline in the determination and reporting of energy savings. It stresses the need, the importance and an approach that can be used to report energy savings accurately in Measurement and Verification (M&V). The paper focusses on the fundamentals and...
This paper focuses on the impacts of considering batteries state-of-charge (SOC) at the departure time on the demand modeling of plug-in electric vehicles (PEVs). Almost all of the previous researches assumed that PEVs batteries at the departure time are fully charged; however, this assumption is highly questionable because it is probable for a PEV to not be charged every day. The probability density...
The paper proposed new ideas and algorithms for the aggregate problem of connection number of vague linguistic interval based on connection number theory of set pair analysis. The main idea is to transform Vague language interval variables into the countenance, difference and opposite connection numbers of set pair analysis, and transform the corresponding decision matrix into grey connection number...
In this paper we show how deductive and abductive reasoning in distributed authorisation can be efficiently ported to Android. Such logical-inference processes prove to be important tools due to the intrinsic autonomic-nature of these mobile devices. Both deduction and abduction are represented by using Constraint Handling Rules (CHR), a high-level declarative constraint programming-language, and...
The aim of this study is to contrast the neural temporal features of decision making in context with risk and ambiguity. Facing stimulus of risk or ambiguity in a monetary gambling, 13 participants were ask to decide to bet or not, while the event-related potentials (ERPs) were recorded. The ERP components, identified as the P200 and N200 were found. The P200 amplitude elicited by the risky condition...
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