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A Tool for Signals, Models, and Identification

Jonas Sjöberg describes how he's using Mathematica's control design functionality to create a tool for signals, models, and identification in this talk from the Wolfram Technology Conference.

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Channels: Engineering

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Educate the next generation of engineers with the most accurate and versatile computation and simulation tools. See how Mathematica and SystemModeler can help you design and optimize your engineering systems.
Wolfgang Schmidt
Wolfgang Schmidt, a scientist at the Jülich Centre for Neutron Science, describes how he used Mathematica to calculate, simulate, and analyze designs for new optical components installed in a powerful neutron spectrometer.
Fritz Lebowsky
Fritz Lebowsky, a senior principal engineer at STMicroelectronics, describes how he uses Mathematica to develop, test, and communicate new image quality algorithms based on the needs of the company's product developers and customers.
Johan Rhodin
In this Wolfram Technology Conference talk, Johan Rhodin gives an overview of the reliability functionality in Mathematica with a focus on reliability modeling, how to determine important metrics for a system, and how to decide which components are important for the system's lifetime.
Pradipto Ghosh and Bob Sandheinrich
In this Wolfram Technology Conference presentation, Pradipto Ghosh and Bob Sandheinrich demonstrate a series of examples showing how to model, analyze, design, and simulate controls systems with Mathematica.
Model, design, and analyze control systems; document design decisions; and interactively test controllers with Wolfram Mathematica and SystemModeler. This video features visual examples of how Wolfram technologies are driving insight, innovation, and results in engineering.
Jan Brugård
Jan Brugård uses a series of examples to introduce Wolfram SystemModeler, the most complete physical modeling and simulation tool, in this presentation from the Wolfram Technology Conference.
Anton Antonov
In this presentation from the Wolfram Technology Conference, Anton Antonov shares how he used Mathematica to develop a route finding system that computes the shortest path between two points in a road network.
David Bailey
David Bailey describes his MusicGenerator package, which makes it possible to play music coded in a compact string notation designed to correspond with conventional sheet music. In this talk from the Wolfram Technology Conference, he explores how the package could form the basis for serious musical experimentation within Mathematica.
Jonas Sjöberg
Jonas Sjöberg describes how he's using Mathematica's control design functionality to create a tool for signals, models, and identification in this talk from the Wolfram Technology Conference.
Ivo Vyšín and Jan Riha
Ivo Vyšín and Jan Riha share insights on the applications of Mathematica in crystalline optical activity in this presentation from the Wolfram Technology Conference.
Diego Oviedo-Salcedo
See how Diego Oviedo-Salcedo, a PhD candidate at the University of Illinois at Urbana-Champaign, uses Mathematica to investigate river-aquifer interactions as part of his civil engineering research.
Diego Oviedo-Salcedo
See how Diego Oviedo-Salcedo, a PhD candidate at the University of Illinois at Urbana-Champaign, uses Mathematica to investigate river-aquifer interactions as part of his civil engineering research. Includes Spanish audio.
Wolfram SystemModeler is the most complete physical modeling and simulation tool. It's designed to connect perfectly with Mathematica for the ultimate integrated modeling, simulation, and analysis workflow. This video features visual examples of how Wolfram technologies are driving insight, innovation, and results in engineering.
Yves Klett
In this talk from the Wolfram Technology Conference 2011, Yves Klett from the Institute of Aircraft Design & University of Stuttgart, Germany, shares a few mechanical engineering examples that make good use of Mathematica.
Andrew Moylan
Mathematica takes advantage of symbolic computation and exact numbers when solving numerical problems. Get a look at Mathematica's powerful "hybrid symbolic-numeric" methods in this Wolfram Mathematica Virtual Conference 2011 course.
Bob Sandheinrich
Explore the new suite of control system tools in Mathematica 8 that can be used to do analysis, design, and simulation of continuous- and discrete-time systems in this Wolfram Mathematica Virtual Conference 2011 course.
Andrew Moylan
In this course from the Wolfram Mathematica Virtual Conference 2011, you'll learn how to best use Mathematica's numerics functions in advanced settings. Topics include techniques and best practices for using multiple numerics functions together, advanced numeric features, and understanding precision and accuracy.
Jan Brugård
This example-driven screencast from the Wolfram Mathematica Virtual Conference 2011 shows how to develop models of Complex Systems using drag-and-drop with the Wolfram MathModelica software, and illustrates how to take the models seamlessly into Mathematica for doing your simulation analysis as well as model design.
Igor Bakshee
Igor Bakshee, an applications developer at Wolfram Research, gives an overview of Mathematica 8's built-in functionality for analysis, design, and simulation of continuous- and discrete-time control systems.
Mike Ulrey
Mathematica's graphical and visualization capabilities play a crucial role in developing models to analyze and test the safety of new flight operations. Mike Ulrey, a member of the advanced air traffic management team at Boeing, explains why in this video.
Mike Ulrey
Mathematica's graphical and visualization capabilities play a crucial role in developing models to analyze and test the safety of new flight operations. Mike Ulrey, a member of the advanced air traffic management team at Boeing, explains why in this video. Includes Spanish audio.
George Woodrow
This video features George Woodrow, a research specialist at Quest Diagnostics, who shares how he uses Mathematica for developing process-control algorithms in a clinical laboratory, exploring their performance, and communicating functionality.
Steve Bush
In this video, Steve Bush, a mechanical engineer at Procter & Gamble, shares an example of how to use Mathematica to develop household consumer products and consider their economic feasibility.