Control Theory for Humans

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A01=John M. Flach
A01=Richard J. Jagacinski
Acceleration Control
Adaptive Control
adaptive control in behavioral research
amplitude
Author_John M. Flach
Author_Richard J. Jagacinski
behavioral experiment design
behavioral sciences
Category=GPF
Category=JMAL
Continuous Tracking Tasks
Critical Tracking Task
Crossover Frequency
Crossover Model
decision making
Direct Adaptive Control
dynamic system analysis
Effective Target Width
engineering psychology
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
fuzzy control techniques
Heading Angle
Higher Order Control Systems
human operator modeling
Indirect Adaptive Control
input
Input Signal
Intertap Intervals
Kalman Filter
manual tracking performance
Model Reference Adaptive Control
Optimal Control Model
perception action coupling
Performance Aircraft
phase
Phase Margins
ratio
response
sine
Sine Waves
Single Sine Wave
State Space Diagram
Steering Wheel Angle
step
system
Target Acquisition Tasks
velocity
Velocity Control System
Vice Versa
wave

Product details

  • ISBN 9780805822939
  • Weight: 730g
  • Dimensions: 174 x 246mm
  • Publication Date: 01 Oct 2002
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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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.

Richard J Jagacinski, John M. Flach

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