Control Theory for Humans: Quantitative Approaches to Modeling and Performance / Edition 1by Richard J. Jagacinski, John M. Flach, John Flach
Pub. Date: 08/01/2002
Publisher: Taylor & Francis
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.
- Taylor & Francis
- Publication date:
- Edition description:
- New Edition
- Product dimensions:
- 6.90(w) x 9.90(h) x 0.90(d)
Table of Contents
Contents: Preface. Perception/Action: A Systems Approach. Closing the Loop. Information Theory and Fitts' Law. The Step Response: First-Order Lag. Linear Systems: Block Diagrams and Laplace Transforms. The Step Response: Second-Order System. Nonproportional Control. Interactions Between Information and Dynamic Constraints. Order of Control. Tracking. There Must Be 50 Ways to See a Sine Wave. A Qualitative Look at Fourier Analysis. The Frequency Domain: Bode Analysis. The Frequency Domain: Describing the Human Operator. Additional Adaptive Aspects of the Crossover Model. Driving Around in Circles. Continuous Tracking: Optimal Control. Estimating and Predicting the State of a Dynamic System With Lag-Like Calculations. Varieties of Variability. Lifting a Glass of Juice. Sine Wave Tracking Is Predictably Attractive. Going With the Flow: An Optical Basis for the Control of Locomotion. Fuzzy Approaches to Vehicular Control. Learning to Control Difficult Systems: Neural Nets. Some Parallels Between Decision Making and Manual Control. Designing Experiments With Control Theory in Mind. Adaptation and Design. Appendix: Interactive Demonstrations.
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