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Tutorials
| Introduction to Control System Toolbox |
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This free text is an easy-to-use tutorial to MATLAB's Control System Toolbox, leading you through all of the important tools for model definition and system analysis and design. The text is self-instructive: You are asked to perform a number of simple tasks through which you will learn to master this toolbox, and the expected responses are even shown in the text.
Submitted: Jul 17, 1999
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| S-Function Blocks in Simulink |
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MATLAB tutorial about using S-Function Blocks in Simulink.
Submitted: Jan 11, 2005
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| Q-Learning by Example |
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Step by step tutorial on how an agent learns through training without teacher (unsupervised) in unknown environment. You will find out part of reinforcement learning algorithm called Q-learning. Reinforcement learning algorithm has been widely used for many applications such as robotics, multi agent system, game, and etc
Submitted: Jul 06, 2005
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| Control Tutorials for MATLAB |
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Welcome to the Control Tutorials for MATLAB and Simulink. They are designed to help you learn how to use MATLAB and Simulink for the analysis and design of automatic control systems. They cover the basics of MATLAB and Simulink, the most common classical control design techniques (PID, root locus, and frequency response), as well as some modern (state-space) control design and digital control. The flow of the tutorials is given by the image map on the home page: each tutorial is a box along the lefthand side. There are also seven examples which are followed through the tutorials (each example page is indicated in the image map by a dot). Throughout the tutorials, you will find links at the bottom of each page to all of the tutorials as well as links to similar examples.
Submitted: Dec 18, 2007
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| Defining Transfer Functions in MATLAB |
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Tutorial how to define transfer functions in both the polynomial form and Linear Time Invariant (LTI) System Object.
Submitted: Jul 03, 1999
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| Virtual Control Lab 3.1 |
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The VCLab approach integrates plugins and Java applets which use the powerful computational engine of MATLAB/SIMULINK to do extensive simulations and real interactive animation of control engineering experiments on laboratory plants modelled in VRML and driven by local or Web wide information. Netscape Navigator is used to display and control all actions of the user. More teachware pages and experiments will be added.
Submitted: Jun 21, 2002
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| Process Control Class MATLAB files |
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M-files from Dr. Qammar's process control class.
Submitted: Jun 21, 2002
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| Free webinar on developing models using data |
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This webinar discusses various data-driven modeling techniques and examines System Identification Toolbox and its capabilities for:
Estimating linear models from time and frequency domain data
Estimating nonlinear models using time domain data
Tuning parameters of models with known structures (grey-box models)
Using estimated models in Simulink®
This webinar will highlight the new features in System Identification Toolbox 7, its largest major release in nearly four years.
Submitted: Jul 22, 2007
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