Control Systems is an inter-disciplinary engineering text that analyzes the effects and interactions of mathematical systems. This book is for third and fourth year undergraduates in an engineering program.
|
Preface
This book will discuss the topic of Control Systems, which is an interdisciplinary engineering topic. Methods considered here will consist of both "Classical" control methods, and "Modern" control methods. Also, discretely sampled systems (digital/computer systems) will be considered in parallel with the more common analog methods. This book will not focus on any single engineering discipline (electrical, mechanical, chemical, etc.), although readers should have a solid foundation in the fundamentals of at least one discipline.
This book will require prior knowledge of linear algebra, integral and differential calculus, and at least some exposure to ordinary differential equations. In addition, a prior knowledge of integral transforms, specifically the Laplace and Z transforms will be very beneficial. Also, prior knowledge of the Fourier Transform will shed more light on certain subjects. Wikibooks with information on calculus topics or transformation topics required for this book will be listed below:
Table of Contents
Special Pages
Print Version: | Full Print version () | Warning: Print version is over 230 pages long as of 10 Feb, 2014. |
PDF Version: | PDF Version | Warning: PDF version is over 5.4MB, as of 21 Jan, 2014. |
Cover Page: | Cover Page | Cover Image |
All Pages: | Page Listing | All Versions |
Book Policy: | Policy | Local Manual of Style |
Search This Book: | (links to an external site) |
Controls Introduction
Classical Control Methods
Modern Control Methods
System Representation
Stability
Controllers and Compensators
Adaptive Control
Nonlinear Systems
Noisy Systems
Introduction to Digital Controls
Linear Matrix Inequalities in Control
- Linear Matrix Inequalities
Examples
Appendices
- Physical Models
- Transforms
- System Representations
- Matrix Operations
- Using MATLAB ®
- Using Octave
- Using Julia
- Using Scilab
- Using Python