Control theory for humans: quantitative approaches to modeling performance

Description

Content: 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.