Control Systems
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Control Systems is an interdisciplinary 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 edit
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 edit
Special Pages edit
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 edit
Classical Control Methods edit
Modern Control Methods edit
 StateSpace Equations
 Linear System Solutions
 TimeVariant System Solutions
 Digital StateSpace
 Eigenvalues and Eigenvectors
 Standard Forms
 MIMO Systems
 Realizations
System Representation edit
Stability edit
 Stability
 StateSpace Stability
 DiscreteTime Stability
 RouthHurwitz Criterion
 Jury's Test
 Root Locus
 Nyquist Stability Criterion
Controllers and Compensators edit
 Controllability and Observability
 System Specifications
 State Feedback
 Estimators and Observers
 Eigenvalue Assignment for MIMO Systems
 Controllers and Compensators
 Polynomial Design
Adaptive Control edit
Nonlinear Systems edit
Noisy Systems edit
Introduction to Digital Controls edit
 Digital Control Systems
 DiscreteTime Stability
 System Delays
 Sampled Data Systems
 Z Transform Mappings