نظریه کنترل برای انسان: رویکردهای کمی به مدل‌سازی عملکرد ۲۰۱۸
Control Theory for Humans: Quantitative Approaches To Modeling Performance 2018

1. Cover

2. Half Title

3. Title Page

4. Copyright Page

5. Dedication

6. Control Theory for Humans

7. Table of Contents

8. About the Authors

9. Preface

1 Perception/Action: A Systems Approach

2 Closing the Loop

3 Information Theory and Fitts’ Law

4 The Step Response: First-Order Lag

5 Linear Systems: Block Diagrams and Laplace Transforms

6 The Step Response: Second-Order System

7 Nonproportional Control

8 Interactions Between Information and Dynamic Constraints

9 Order of Control

10 Tracking

11 There Must Be 50 Ways to See a Sine Wave

12 A Qualitative Look at Fourier Analysis

13 The Frequency Domain: Bode Analysis

14 The Frequency Domain: Describing the Human Operator

15 Additional Adaptive Aspects of the Crossover Model

16 Driving Around in Circles

17 Continuous Tracking: Optimal Control

18 Estimating and Predicting the State of a Dynamic System With Lag-Like Calculations

19 Varieties of Variability

20 Lifting a Glass of Juice

21 Sine Wave Tracking Is Predictably Attractive

22 Going With the Flow: An Optical Basis for the Control of Locomotion

23 Fuzzy Approaches to Vehicular Control

24 Learning to Control Difficult Systems: Neural Nets

25 Some Parallels Between Decision Making and Manual Control

26 Designing Experiments With Control Theory in Mind

27 Adaptation and Design

37. Appendix: Interactive Demonstrations

38. Author Index

39. Subject Index