Nonlinear Control Systems using MATLAB

This book PDF is perfect for those who love Computers genre, written by Mourad Boufadene and published by CRC Press which was released on 24 September 2018 with total hardcover pages 41. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Nonlinear Control Systems using MATLAB books below.

Nonlinear Control Systems using MATLAB
Author : Mourad Boufadene
File Size : 40,8 Mb
Publisher : CRC Press
Language : English
Release Date : 24 September 2018
ISBN : 9780429781346
Pages : 41 pages
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Nonlinear Control Systems using MATLAB by Mourad Boufadene Book PDF Summary

The development of computer software for nonlinear control systems has provided many benefits for teaching, research, and the development of control systems design. MATLAB is considered the dominant software platforms for linear and nonlinear control systems analysis. This book provides an easy way to learn nonlinear control systems such as feedback linearization technique and Sliding mode control (Structure variable control) which are one of the most used techniques in nonlinear control dynamical systems; therefore teachers-students and researchers are all in need to handle such techniques; and since they are too difficult for them to handle such nonlinear controllers especially for a more complicated systems such as induction motor, satellite, and vehicles dynamical models. Thus, this document it is an excellent resource for learning the principle of feedback linearization and sliding mode techniques in an easy and simple way: Provides a briefs description of the feedback linearization and sliding mode control strategies Includes a simple method on how to determine the right and appropriate controller (P-PI-PID) for feedback linearization control strategy. A Symbolic MATLAB Based function for finding the feedback linearization and sliding mode controllers are developed and tested using several examples. A simple method for finding the approximate sliding mode controller parameters is introduced Where the program used to construct the nonlinear controller uses symbolic computations; such that the user should provide the program with the necessary functions f(x), g(x) and h(x) using the symbolic library.

Nonlinear Control Systems using MATLAB

The development of computer software for nonlinear control systems has provided many benefits for teaching, research, and the development of control systems design. MATLAB is considered the dominant software platforms for linear and nonlinear control systems analysis. This book provides an easy way to learn nonlinear control systems such as

Get Book
Nonlinear Control System Using Matlab

This text provides an easy way to learn feedback linearization technique which is one of the most used technique in nonlinear control dynamical systems; therefore teachers-students and researchers are all in need to handle such technique; and since it is too difficult for them to handle such nonlinear controller especially

Get Book
Quantitative Feedback Design of Linear and Nonlinear Control Systems

Quantitative Feedback Design of Linear and Nonlinear Control Systems is a self-contained book dealing with the theory and practice of Quantitative Feedback Theory (QFT). The author presents feedback synthesis techniques for single-input single-output, multi-input multi-output linear time-invariant and nonlinear plants based on the QFT method. Included are design details and

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Nonlinear Control System Using Matlab

This text provides an easy way to learn feedback linearization technique which is one of the most used technique in nonlinear control dynamical systems; therefore teachers-students and researchers are all in need to handle such technique; and since it is too difficult for them to handle such nonlinear controller especially

Get Book
Nonlinear Filtering

This book gives readers in-depth know-how on methods of state estimation for nonlinear control systems. It starts with an introduction to dynamic control systems and system states and a brief description of the Kalman filter. In the following chapters, various state estimation techniques for nonlinear systems are discussed, including the

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Modelling  Simulation and Control of Non linear Dynamical Systems

These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming la

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The book reports on the latest advances and applications of nonlinear control systems. It consists of 30 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought out in the broad areas of nonlinear control systems such as robotics,

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Sliding Mode Control Using MATLAB provides many sliding mode controller design examples, along with simulation examples and MATLABĀ® programs. Following the review of sliding mode control, the book includes sliding mode control for continuous systems, robust adaptive sliding mode control, sliding mode control for underactuated systems, backstepping, and dynamic surface

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