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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.
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.
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