System Design Through Matlab R Control Toolbox And Simulink R


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System Design through Matlab®, Control Toolbox and Simulink®


System Design through Matlab®, Control Toolbox and Simulink®

Author: Krishna K. Singh

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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MATLAB®, a software package developed by Math Works, Inc. is powerful, versatile and interactive software for scientific and technical computations including simulations. Specialised toolboxes provided with several built-in functions are a special feature of MATLAB®. System Design through MATLAB®, Control Toolbox and Simulink® gets the reader started with computations and simulations in system engineering quickly and easily and then proceeds to build concepts for advanced computations and simulations that includes the control and compensation of systems. Simulation through Simulink® has also been described to allow the reader to get the feel of the real-world situation. Material covered includes: system representation and modelling; model manipulation and analysis; GUIs for the Control System Toolbox; control-system design with Simulink®; compensator design; and simple and complex applications. This book is appropriate for undergraduate students undergoing final semester of their project work, postgraduate students who have MATLAB® integrated in their course or wish to take up simulation problem in the area of system engineering for their dissertation work and research scholars for whom MATLAB®, along with its associated toolboxes and Simulink® is an Indispensable took for simulation.

Control Tutorials for MATLAB and Simulink


Control Tutorials for MATLAB and Simulink

Author: William C. Messner

language: en

Publisher:

Release Date: 1998


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Designed to help learn how to use MATLAB and Simulink for the analysis and design of automatic control systems.

Robust Control Design with MATLAB®


Robust Control Design with MATLAB®

Author: Da-Wei Gu

language: en

Publisher: Springer Science & Business Media

Release Date: 2006-03-30


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Shows readers how to exploit the capabilities of the MATLAB® Robust Control and Control Systems Toolboxes to the fullest using practical robust control examples.