Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/131077
Title: Modeling, Programming and Simulations Using LabVIEW™ Software
Authors: Riccardo De Asmundis
Issue Date: 2011
Publisher: InTech
Abstract: Born originally as a software for instrumentation control, LabVIEW became quickly a very powerful programming language, having some characteristics which made it unique: simplicity in creating very effective User Interfaces and the G programming mode. While the former allows for the design of very professional control panels and whole applications, complete with features for distributing and installing them, the latter represents an innovative way of programming: the graphical representation of the code. The surprising aspect is that such a way of conceiving algorithms is extremely similar to the SADT method (Structured Analysis and Design Technique) introduced by Douglas T. Ross and SofTech, Inc. (USA) in 1969 from an original idea by MIT, and extensively used by the US Air Force for their projects. LabVIEW enables programming by implementing directly the equivalent of an SADT "actigram". Apart from this academic aspect, LabVIEW can be used in a variety of forms, creating projects that can spread over an enormous field of applications: from control and monitoring software to data treatment and archiving; from modeling to instrument control; from real time programming to advanced analysis tools with very powerful mathematical algorithms ready to use; from full integration with native hardware (by National Instruments) to an easy implementation of drivers for third party hardware. In this book a collection of applications covering a wide range of possibilities is presented. We go from simple or distributed control software to modeling done in LabVIEW; from very specific applications to usage in the educational environment.
link: http://www.intechopen.com/books/modeling-programming-and-simulations-using-labview-software
Keywords: Computer and Information Science; Numerical Analysis and Scientific Computing
ISBN: 978-953-307-521-1
Theme:教科書-自然科學類

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