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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.
Human Motor Control is a elementary introduction to the field of motor control, stressing psychological, physiological, and computational approaches. Human Motor Control cuts across all disciplines which are defined with respect to movement: physical education, dance, physical therapy, robotics, and so on. The book is organized around major activity areas. - A comprehensive presentation of the major problems and topics in human motor control - Incorporates applications of work that lie outside traditional sports or physical education teaching
"We need to strive for a world where people control what is important to themselves while minimizing the controlling of others." We are all controlling people. In fact our feelings of wellbeing depend on staying in control. Just as when we drive a car, we must stay in control in everyday life in order to keep the things we care about going in the right direction. Yet this natural controlling behavior is sometimes the very reason we end up losing control. This happens when we try to control other people as well as when we try to control ourselves. So how do we do better? Based on Perceptual Control Theory (PCT), this entertaining and enlightening book by psychologists Richard S. Marken and Timothy A. Carey explores the paradox of why we often lose control by trying to be in control and why our controlling nature makes it difficult to stop this self-defeating behavior. They show that understanding PCT opens the window to understanding and learning about ourselves as controlling people and equips us to lead more effective and satisfying lives.
Offers unified treatment of conventional and modern continuous and discrete control theory and demonstrates how to apply the theory to realistic control system design problems. Along with linear and nonlinear, digital and optimal control systems, it presents four case studies of actual designs. The majority of solutions contained in the book and the problems at the ends of the chapters were generated using the commercial software package, MATLAB, and is available free to the users of the book by returning a postcard contained with the book to the MathWorks, Inc. This software also contains the following features/utilities created to enhance MATLAB and several of the MathWorks' toolboxes: Tutorial File which contains the essentials necessary to understand the MATLAB interface (other books require additional books for full comprehension), Demonstration m-file which gives the users a feel for the various utilities included, OnLine HELP, Synopsis File which reviews and highlights the features of each chapter.
Making Sense of Behavior is the long-anticipated work on Perceptual Control Theory (PCT) by the originator written for the general reader in nontechnical language. From the author: "This is a book about human nature, as we try to guess about it by watching human behavior. It's about a particular theory that seems to fit a great deal of what we see people doing and a great deal of our own private experience. A lot of people think that this is a pretty good theory. But my object in this book is not to persuade you that the theory is right, either by itself or by comparison with other theories. My main objective is to tell you what the theory is and why it has been constructed as it is. I will tell you of the observations that I have thought needed an explanation, and of how this theory appears to explain them. You can decide for yourself whether the theory and the observations go together, and are important."
Dr. William Glasser offers a new psychology that, if practiced, could reverse our widespread inability to get along with one another, an inability that is the source of almost all unhappiness. For progress in human relationships, he explains that we must give up the punishing, relationship–destroying external control psychology. For example, if you are in an unhappy relationship right now, he proposes that one or both of you could be using external control psychology on the other. He goes further. And suggests that misery is always related to a current unsatisfying relationship. Contrary to what you may believe, your troubles are always now, never in the past. No one can change what happened yesterday.
Coping with Lack of Control in a Social World offers an integrated view of cutting-edge research on the effects of control deprivation on social cognition. The book integrates multi-method research demonstrating how various types of control deprivation, related not only to experimental settings but also to real life situations of helplessness, can lead to variety of cognitive and emotional coping strategies at the social cognitive level. The comprehensive analyses in this book tackle issues such as: Cognitive, emotional and socio-behavioral reactions to threats to personal control How social factors aid in coping with a sense of lost or threatened control Relating uncontrollability to powerlessness and intergroup processes How lack of control experiences can influence basic and complex cognitive processes This book integrates various strands of research that have not yet been presented together in an innovative volume that addresses the issue of reactions to control loss in a socio-psychological context. Its focus on coping as an active way of confronting a sense of uncontrollability makes this a unique, and highly original, contribution to the field. Practicing psychologists and students of psychology will be particularly interested readers.
A leading artificial intelligence researcher lays out a new approach to AI that will enable people to coexist successfully with increasingly intelligent machines.
A survey of how engineering techniques from control and systems theory can be used to help biologists understand the behavior of cellular systems.