1,721,036 research outputs found
Advanced control and optimization with applications to complex automotive systems
Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://10.1155/2014/18358
Robust H ∞ sliding mode control with pole placement for a fluid power electrohydraulic actuator (EHA) system
In this paper, we exploit the sliding mode control problem for a fluid power electrohydraulic actuator (EHA) system. To characterize the nonlinearity of the friction, the EHA system is modeled as a linear system with a system uncertainty. Practically, it is assumed that the system is also subject to the load disturbance and the external noise. An integral sliding mode controller is proposed to design. The advanced techniques such as the H ∞ control and the regional pole placement are employed to derive the optimal feedback gain which can be calculated by solving a necessary and sufficient condition in the form of linear matrix inequality. A sliding mode control law is developed such that the sliding mode reaching law is satisfied. Simulation and comparison results show the effectiveness of the proposed design method. © 2014 Springer-Verlag London
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Development and Motion Analysis of Multiple Scaled Autonomous Vehicles
Presently, extensive testing has been conducted with a single autonomous vehicle that interacts solely with dynamics and static objects but not with other autonomous vehicles. An analysis of how autonomous vehicles interact with other autonomous vehicles has been rarely done. This research focuses on the development of multiple, scaled-down, simple autonomous cars using Arduino logic and analyzing how they follow a trajectory. The objective of this research is to avoid unsafe and uncomfortable conditions for the consumer when this technology becomes readily available to the public. This will be done by creating small-scale vehicles capable of implementing object avoidance algorithms similar to a full-scale autonomous vehicle. The first step is to focus on developing a vehicle that can interact with static and dynamic objects which are not autonomous, and successfully avoid them. This is analogous to an autonomous vehicle that can avoid objects similar to the current standard for autonomous vehicles. The final step is to develop a controller to follow a trajectory for future use in a head-on collision test. Advanced scenarios will be researched alongside this project. From this research we have developed three vehicles that meet scalability parameters and have the ability to follow a straight-line trajectory. We have also found that the bicycle model with constant velocity is not sufficient for our needs and must include acceleration. We have successfully built scaled down autonomous vehicles to analyze multiple scenarios, but further design for the system controllers is necessary. This research will allow us to understand if certain safety parameters are necessary for autonomous vehicles while contributing to developing these safety algorithms if necessary.NSFNo embargoAcademic Major: Mechanical Engineerin
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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