Control Theory for Humans: Quantitative Approaches To Modeling Performance

Front Cover
CRC Press, Jan 30, 2003 - Technology & Engineering - 400 pages
0 Reviews
This textbook provides a tutorial introduction to behavioral applications of control theory. Control theory describes the information one should be sensitive to and the pattern of influence that one should exert on a dynamic system in order to achieve a goal. As such, it is applicable to various forms of dynamic behavior. The book primarily deals with manual control (e.g., moving the cursor on a computer screen, lifting an object, hitting a ball, driving a car), both as a substantive area of study and as a useful perspective for approaching control theory. It is the experience of the authors that by imagining themselves as part of a manual control system, students are better able to learn numerous concepts in this field.

Topics include varieties of control theory, such as classical, optimal, fuzzy, adaptive, and learning control, as well as perception and decision making in dynamic contexts. The authors also discuss implications of control theory for how experiments can be conducted in the behavioral sciences. In each of these areas they have provided brief essays intended to convey key concepts that enable the reader to more easily pursue additional readings. Behavioral scientists teaching control courses will be very interested in this book.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

A Systems Approach
1
2 Closing the Loop
8
3 Information Theory and Fitts Law
17
FirstOrder Lag
27
Block Diagrams and Laplace Transforms
33
SecondOrder System
46
7 Nonproportional Control
58
8 Interactions Between Information and Dynamic Constraints
74
Optimal Control
195
18 Estimating and Predicting the State of a Dynamic System With LagLike Calculations
212
19 Varieties of Variability
222
20 Lifting a Glass of Juice
239
21 Sine Wave Tracking Is Predictably Attractive
252
An Optical Basis for the Control of Locomotion
269
23 Fuzzy Approaches to Vehicular Control
291
Neural Nets
303

9 Order of Control
87
10 Tracking
104
11 There Must Be 50 Ways to See a Sine Wave
112
12 A Qualitative Look at Fourier Analysis
120
Bode Analysis
137
Describing the Human Operator
158
15 Additional Adaptive Aspects of the Crossover Model
168
16 Driving Around in Circles
184
25 Some Parallels Between Decision Making and Manual Control
314
26 Designing Experiments with Control Theory in Mind
331
27 Adaptation and Design
342
Interactive Demonstrations
360
Author Index
367
Subject Index
375
Copyright

Other editions - View all

Common terms and phrases

Bibliographic information