[PDF] Modern Control Systems Analysis And Design Using Matlab eBook

Modern Control Systems Analysis And Design Using Matlab Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Modern Control Systems Analysis And Design Using Matlab book. This book definitely worth reading, it is an incredibly well-written.

Modern Control Systems Analysis and Design Using MATLAB and SIMULINK

Author : Robert H. Bishop
Publisher : Prentice Hall
Page : 274 pages
File Size : 34,75 MB
Release : 1997
Category : Computers
ISBN :

GET BOOK

This supplement is meant for professors looking for ways to integrate more of the design process into their undergraduate controls course as well as improve their students' computer skills. In each chapter, a problem from the Modern Control Systems textbook has been changed into a design problem and various aspects of the design process are explored.

Linear Control System Analysis and Design with MATLAB

Author : Constantine H. Houpis
Publisher : CRC Press
Page : 712 pages
File Size : 25,87 MB
Release : 2013-10-30
Category : Technology & Engineering
ISBN : 1466504277

GET BOOK

This book uses numerous in-depth explanations, diagrams, calculations, and tables to provide an intensive overview of modern control theory and control system design. Mathematics is kept to a minimum, and engineering applications are stressed throughout. Completely updated and packed with student-friendly features, the sixth edition presents a range of updated examples using MATLAB, as well as an appendix listing MATLAB functions for optimizing control system analysis and design. Over 75 percent of the problems presented in the previous edition have been revised or replaced.

Modern Control Systems Analysis and Design Using MATLAB

Author : Robert H. Bishop
Publisher : Addison Wesley Publishing Company
Page : 182 pages
File Size : 47,70 MB
Release : 1993
Category : Computers
ISBN :

GET BOOK

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

Modern Control Systems

Author : Richard C. Dorf
Publisher : Prentice Hall
Page : 881 pages
File Size : 11,21 MB
Release : 2005
Category : Control theory
ISBN : 9780131277656

GET BOOK

This text takes complex control theory, integrates design and analysis and makes it accessible to students.

Nonlinear Control Systems using MATLAB®

Author : Mourad Boufadene
Publisher : CRC Press
Page : 57 pages
File Size : 28,68 MB
Release : 2018-09-24
Category : Computers
ISBN : 0429781342

GET BOOK

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.

Modern Control Engineering

Author : Katsuhiko Ogata
Publisher :
Page : 997 pages
File Size : 34,17 MB
Release : 1997
Category : Automatic control
ISBN : 9780132613897

GET BOOK

Text for a first course in control systems, revised (1st ed. was 1970) to include new subjects such as the pole placement approach to the design of control systems, design of observers, and computer simulation of control systems. For senior engineering students. Annotation copyright Book News, Inc.

Linear Control System Analysis and Design

Author : Constantine H. Houpis
Publisher : CRC Press
Page : 859 pages
File Size : 37,2 MB
Release : 2003-08-14
Category : Technology & Engineering
ISBN : 0203911423

GET BOOK

Thoroughly classroom-tested and proven to be a valuable self-study companion, Linear Control System Analysis and Design: Fifth Edition uses in-depth explanations, diagrams, calculations, and tables, to provide an intensive overview of modern control theory and conventional control system design. The authors keep the mathematics to a minimum while stressing real-world engineering challenges. Completely updated and packed with student-friendly features, the Fifth Edition presents a wide range of examples using MATLAB® and TOTAL-PC, as well as an appendix listing MATLAB functions for optimizing control system analysis and design. Eighty percent of the problems presented in the previous edition have been revised to further reinforce concepts necessary for current electrical, aeronautical, astronautical, and mechanical applications.

Robust Control Design with MATLAB®

Author : Da-Wei Gu
Publisher : Springer Science & Business Media
Page : 393 pages
File Size : 26,30 MB
Release : 2006-03-30
Category : Technology & Engineering
ISBN : 1846280915

GET BOOK

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