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Here in this highly useful reference is the finest overview of automatic control systems / robotics currently available, with hundreds of control systems / robotics problems that cover everything from modeling and matrices to system stability and nonlinear systems. Each problem is clearly solved with step-by-step detailed solutions.

DETAILS

- The PROBLEM SOLVERS are unique - the ultimate in study guides.

- They are ideal for helping students cope with the toughest subjects.

- They greatly simplify study and learning tasks.

- They enable students to come to grips with difficult problems by showing them the way, step-by-step, toward solving problems. As a result, they save hours of frustration and time spent on groping for answers and understanding.

- They cover material ranging from the elementary to the advanced in each subject.

- They work exceptionally well with any text in its field.

- PROBLEM SOLVERS are available in 41 subjects.

- Each PROBLEM SOLVER is prepared by supremely knowledgeable experts.

- Most are over 1000 pages.

- PROBLEM SOLVERS are not meant to be read cover to cover. They offer whatever may be needed at a given time. An excellent index helps to locate specific problems rapidly.

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TABLE OF CONTENTS

Introduction

Chapter 1: Modeling

Block Diagram

Transfer Function

Chapter 2: Matrices

Rank, Analysis of Inverse Matrices

Eigenvectors and Diagonalization

Chapter 3: Laplace Transforms

Laplace Transforms and Theorems

Inverse Laplace Transforms and Solutions of Differential Equations

Chapter 4: Z-Transforms

Z-transforms and Theorems

Inverse Z-transforms and Response of Systems

Chapter 5: Transfer Function and Block Diagrams

Transfer Functions from Block Diagrams

Transfer Functions of Networks and Systems

The Transfer Matrix and Pulse Transfer Function

Chapter 6: Time Analysis

Response

Response - Discrete

Response - Error

Chapter 7: Frequency Analysis, Nyquist Diagram, Root Locus, Bode Diagram

Nyquist Diagram

Root Locus

Bode Diagram

Frequency Response

Chapter 8: Design and Compensation

Design

Frequency Response

Bilinear Transform

Compensation

Lag Compensation, Root Locus

Controller

Compensator, Observer

Root Locus

Chapter 9: State Space Representation

State Space Representation of Transfer Functions

Transformation of Differential Equations into State Space Representation

State Space Representation from Block Diagrams and Difference Equations

State Space Representation of Electrical and Mechanical Systems

Chapter 10: State Transition Matrix

Methods of Determining the State Transition Matrix

State Transition Matrix of Systems

Chapter 11: Solutions to State Equations

Chapter 12: Controllability and Observability

Chapter 13: Automatic Control Stability

Routh and Herwits Critera

Krasovskii Theorem

Liapunov Function

Different Kinds of Stability-Jury Test

Discrete Systems

Phase Plane

Root Locus

Nyquist Bode

Chapter 14: Phase Plane Analysis

Initial Conditions

Method of Isoclines

Application to Networks and Systems

Chapter 15: Nonlinear Systems

Nonlinear Systems

Describing Functions

Phase Plane

Limit Cycle

State Representation, Popov, Liapunov

Chapter 16: Optimization

Chapter 17: Digital Control Systems

Design - Controller

State - Discrete

Digital Observer

Microprocessor Control

Summary of Principles in Control Systems

Index

WHAT THIS BOOK IS FOR

Students have generally found automatic control systems / robotics a difficult subject to understand and learn. Despite the publication of hundreds of textbooks in this field, each one intended to provide an improvement over previous textbooks, students of automatic control systems / robotics continue to remain perplexed as a result of numerous subject areas that must be remembered and correlated when solving problems. Various interpretations of automatic control systems / robotics terms also contribute to the difficulties of mastering the subject.

In a study of automatic control systems / robotics, REA found the following basic reasons underlying the inherent difficulties of automatic control systems / robotics:

No systematic rules of analysis were ever developed to follow in a step-by-step manner to solve typically encountered problems. This results from numerous different conditions and principles involved in a problem that leads to many possible different solution methods. To prescribe a set of rules for each of the possible variations would involve an enormous number of additional steps, making this task more burdensome than solving the problem directly due to the expectation of much trial and error.

Current textbooks normally explain a given principle in a few pages written by an automatic control systems / robotics professional who has insight into the subject matter not shared by others. These explanations are often written in an abstract manner that causes confusion as to the principle’s use and application. Explanations then are often not sufficiently detailed or extensive enough to make the reader aware of the wide range of applications and different aspects of the principle being studied. The numerous possible variations of principles and their applications are usually not discussed, and it is left to the reader to discover this while doing exercises. Accordingly, the average student is expected to rediscover that which has long been established and practiced, but not always published or adequately explained.

The examples typically following the explanation of a topic are too few in number and too simple to enable the student to obtain a thorough grasp of the involved principles. The explanations do not provide sufficient basis to solve problems that may be assigned for homework or given on examinations.

Poorly solved examples such as these can be presented in abbreviated form which leaves out much explanatory material between steps, and as a result requires the reader to figure out the missing information. This leaves the reader with an impression that the problems and even the subject are hard to learn - completely the opposite of what an example is supposed to do.

Poor examples are often worded in a confusing or obscure way. They might not state the nature of the problem or they present a solution, which appears to have no direct relation to the problem. These problems usually offer an overly general discussion - never revealing how or what is to be solved.

Many examples do not include accompanying diagrams or graphs, denying the reader the exposure necessary for drawing good diagrams and graphs. Such practice only strengthens understanding by simplifying and organizing automatic control systems / robotics processes.

Students can learn the subject only by doing the exercises themselves and reviewing them in class, obtaining experience in applying the principles with their different ramifications.

In doing the exercises by themselves, students find that they are required to devote considerable more time to automatic control systems / robotics than to other subjects, because they are uncertain with regard to the selection and application of the theorems and principles involved. It is also often necessary for students to discover those “tricks” not revealed in their texts (or review books), that make it possible to solve problems easily. Students must usually resort to methods of trial and error to discover these “tricks,“ therefore finding out that they may sometimes spend several hours to solve a single problem.

When reviewing the exercises in classrooms, instructors usually request students to take turns in writing solutions on the boards and explaining them to the class. Students often find it difficult to explain in a manner that holds the interest of the class, and enables the remaining students to follow the material written on the boards. The remaining students in the class are thus too occupied with copying the material off the boards to follow the professor’s explanations.

This book is intended to aid students in automatic control systems / robotics overcome the difficulties described by supplying detailed illustrations of the solution methods that are usually not apparent to students. Solution methods are illustrated by problems that have been selected from those most often assigned for class work and given on examinations. The problems are arranged in order of complexity to enable students to learn and understand a particular topic by reviewing the problems in sequence. The problems are illustrated with detailed, step-by-step explanations, to save the students large amounts of time that is often needed to fill in the gaps that are usually found between steps of illustrations in textbooks or review/outline books.

The staff of REA considers automatic control systems / robotics a subject that is best learned by allowing students to view the methods of analysis and solution techniques. This learning approach is similar to that practiced in various scientific laboratories, particularly in the medical fields.

In using this book, students may review and study the illustrated problems at their own pace; students are not limited to the time such problems receive in the classroom.

When students want to look up a particular type of problem and solution, they can readily locate it in the book by referring to the index that has been extensively prepared. It is also possible to locate a particular type of problem by glancing at just the material within the boxed portions. Each problem is numbered and surrounded by a heavy black border for speedy identification.