Freeware Downloads for "Control Toolbox Matlab"

ScopeMath (fileid 13165) is a MATLAB-based GUI that uses the Instrument Control Toolbox to retrieve waveforms from an oscilloscope and analyze them in various ways. ScopeMath_Simple is a simplified version that demonstrates how to set up a similar GUI for your own purposes. It shows how to: 1) Create the GUI 2) Connect to the instrument 3) Get data from the instrument, and 4) Clean up the resources when exiting the program. For more information on the Instrument Control Toolbox, see http://www.

  • Platform: Matlab, Scripts
  • Publisher: Gautam Vallabha
  • Date: 07-01-2013
  • Size: 225 KB

The KUKA Control Toolbox (KCT) is a collection of MATLAB functions developed at the University of Siena, for motion control of KUKA robot manipulators..

Randomized Algorithms Control Toolbox is a Matlab toolbox, provides analysis and synthesis methods for control problems with uncertainties..

This zip file contains the files for the demo used in "Introduction to Model Predictive Control Toolbox" webinar, available at this url: http://www.mathworks.com/company/events/we...4.html?id=32784.

  • Platform: Matlab, Scripts
  • Publisher: Arkadiy Turevskiy
  • Date: 11-04-2013
  • Size: 41 KB

MATLAB™ is a software environment and programming language with over 1,000,000 users and supports Tektronix™ spectrum analyzers through its Instrument Control Toolbox. MATLAB is used with Tektronix spectrum analyzers for important tasks including filtering acquired signals, analyzing and visualizing inphase-quadrature (IQ) data, automating measurements, and generating reports. This example works with Instrument Control Toolbox v2.7 and higher. This MATLAB function acquires IQ data from a Tektronix RSA6000 series spectrum analyzer and returns the data to the caller.

  • Platform: Matlab, Scripts
  • Publisher: Roger Yeh
  • Date: 07-04-2013
  • Size: 10 KB

LYAPACK is a MATLAB toolbox for the solution of certain large scale problems in control theory, which are closely related to Lyapunov equations. In contrast to the 'lyap' and 'dlyap' command in the MATLAB Control toolbox it uses iterative algorithms and is intended for large, sparse problems..

  • Platform: Matlab, Scripts
  • Publisher: Volker Mehrmann
  • Date: 12-03-2013
  • Size: 1044 KB

This is a MATLAB instrument driver for use with v2.0 of the Instrument Control Toolbox and higher. It supports the Rohde & Schwarz SMIQ series of vector signal generators. It is a MATLAB VXIplug&play instrument driver that requires the Rohde & Schwarz rssmiq VXIplug&play instrument driver to operate. This driver is available from the Rohde & Schwarz website, or possibly as part of the software that came with the instrument. For additional information on MATLAB instrument drivers visit the Instrument Control Toolbox product page http://www.

This is a MATLAB instrument driver for use with v2.0 of the Instrument Control Toolbox and higher. It supports the Rohde & Schwarz SMV series of vector signal generators. It is a MATLAB VXIplug&play instrument driver that requires the Rohde & Schwarz rssmv VXIplug&play instrument driver to operate. This driver is available from the Rohde & Schwarz website, or possibly as part of the software that came with the instrument. For additional information on MATLAB instrument drivers visit the Instrument Control Toolbox product page http://www.

The attached ZIP file contains a tutorial for using the SonnetLab Toolbox for MATLAB™. SonnetLab is a free MATLAB™ toolbox that enables users to control and automate Sonnet's 3D planar electromagnetic simulator. The attached tutorial will build four Sonnet projects. The projects designed by this tutorial will match those presented in Chapter 13 of the Sonnet User Guide titled 'Netlist Project Analysis'. The attached archive includes a document that describes every line of code in detail. This tutorial requires the latest version of SonnetLab.

  • Platform: Matlab, Scripts
  • Publisher: Bashir Souid
  • Date: 03-04-2013
  • Size: 205 KB

Using the Instrument Control Toolbox, stream2excel.m reads data from an oscilloscope. Alternatively there is a companion data file that may be used instead. It filters the data to remove noise. It plots the data in an Excel spreadsheet using MATLAB's ActiveX interface. For more information, see this MATLAB Digest article: http://www.mathworks.com/company/newslette.../streaming.html.

This collection contains M-files intended for design of the Mass/Damper/Spring control system using the newly available functions from Robust Control Toolbox,version 3. The book also presents other 5 case studies including robust control systems design of a triple inverted pendulum, a hard disk drive, a distillation column, a rocket system and a flexible-link manipulator. New codes of those designs exploiting Robust Control Toolbox, version 3.0 are available upon request. These M-files should be used in the environment of MATLAB, version 7.

  • Platform: Matlab, Scripts
  • Publisher: Petko Petkov
  • Date: 10-05-2013
  • Size: 10 KB

A MATLAB toolbox for the design of discrete-time H2- and Hinf-optimal preview controllers within a generalised regulator framework. Latest code can be downloaded via subversion. See: http://code.google.com/p/preview-control-toolbox/ The core algorithms were developed during the course of Andrew Hazell's PhD thesis: Discrete-Time Optimal Preview Control. PhD thesis, Imperial College, London, 2008,http://deposit.depot.edina.ac.uk/145/. Documentation is currently fairly minimal, although the code is fairly well commented, and there are several 'demo' functions which take the user through the steps required to use the code.

  • Platform: Matlab, Scripts
  • Publisher: Andrew Hazell
  • Date: 10-06-2013
  • Size: 51 KB

The Dutchroll project provides Open Source applications for Matlab and Simulink, with the emphasis on aerospace engineering. The main application is the Flight Dynamics and Control toolbox; other applications will be derived from that toolbox..

This collection contains M-files intended for design of the Mass/Damper/Spring control system using the newly available functions from Robust Control Toolbox,version 3. Description of the system and version of the files using functions from mu-toolbox can be found in the book ?Robust Control Design with MATLAB? by Da-Wei Gu, Petko H. Petkov and Mihail M. Konstantinov, Springer-Verlag, London, 2005(http://www.springer.com/sgw/cda/frontpage/...angeHeader=true). The book also presents other 5 case studies including robust control systems design of a triple inverted pendulum, a hard disk drive, a distillation column, a rocket system and a flexible-link manipulator.

  • Platform: Matlab, Scripts
  • Publisher: Petko Petkov
  • Date: 09-06-2013
  • Size: 10 KB

This simple program finds the ramp response of SISO LTI systems defined by a transfer function. Actually it is based on the MATLAB Control Toolbox function 'step'..

  • Platform: Matlab, Scripts
  • Publisher: Atakan Varol
  • Date: 12-03-2013
  • Size: 10 KB

This basic model shows you how to acquire live data from an Agilent oscilloscope into Simulink. This model was developed for the Agilent 6000 series oscilloscope but may work with other Agilent scopes with little or no modifications. I welcome submission reviews below to let us know whether you got it working with your specific Agilent scope. Please provide scope model used. To view the waveform acquired, double click on each "scope" block, then right click and select "Autoscale". Learn more about the Instrument Control Toolbox at: http://www.

  • Platform: Matlab, Scripts
  • Publisher: Steven Kolak
  • Date: 04-06-2013
  • Size: 10 KB

Hi guys this is my Simple Pendulum model and control using SimMechanics and Control toolbox, later I will include also the SolidWorks files to show how to use SolidWorks link. Anyone who finds that I should do things in another way please fell free to post any comment and help me :) This sample was modelled with SimMechanics and control was made with lqr command. First I've imported the pendulum from solidworks with mech_import; >> mgrPend = MECH_STATEVECTORMGR; >> mgrPend.StateNames ans = 'InvertedPendulumModel/Pendulo_Invertido/Revolute:R1:Position' 'InvertedPendulumModel/Pendulo_Invertido/Prismatic:P1:Position' 'InvertedPendulumModel/Pendulo_Invertido/Revolute:R1:Velocity' 'InvertedPendulumModel/Pendulo_Invertido/Prismatic:P1:Velocity' >> [A,B,C,D] = linmod('InvertedPendulumModel'); >> eig(A) ans = 0 0 2.

  • Platform: Matlab, Scripts
  • Publisher: Leonardo Araujo
  • Date: 13-05-2013
  • Size: 328 KB

In this article, procedure for using the the Matlab Neural Toolbox in order to identify and control an hypothetical non linear plant is explained with details enough to help anybody interested in that issue to know what to do and how to do a complete simulation using the tools that Matlab 7.1 and later offers to us. Many figures are included to be more explicit..

This workbook teaches students how to use MATLAB and Simulink to perform calculations and generate graphs essential to control system analysis. For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1301.jsp..

  • Platform: Matlab, Scripts
  • Publisher: Naomi Leonard
  • Date: 27-04-2013
  • Size: 51 KB

This package contains 5 simple examples showing how to interfacing to external devices from MATLAB. These examples show a range of approaches for connecting MATLAB to different types of external devices: - Data Acquisition Toolbox - Instrument Control Toolbox - Image Acquisition Toolbox.

  • Platform: Matlab, Scripts
  • Publisher: Scott Hirsch
  • Date: 08-03-2013
  • Size: 10 KB

Control Toolbox Matlab: Freeware | All

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