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Feedback Control Theory

by John Doyle, Bruce Francis, Allen Tannenbaum , 1990
"... ..."
Abstract - Cited by 608 (6 self) - Add to MetaCart
Abstract not found

Mathematical Control Theory: Deterministic Finite Dimensional Systems

by Eduardo D. Sontag - of Texts in Applied Mathematics , 1990
"... The title of this book gives a very good description of its contents and style, although I might have added “Introduction to ” at the beginning. The style is mathematical: precise, clear statements (i.e., theorems) are asserted, then carefully proved. The book covers many of the key topics in contro ..."
Abstract - Cited by 485 (121 self) - Add to MetaCart
in control theory, except — as the subtitle has warned us — those involving stochastic processes or infinite-dimensional systems. The level is appropriate for a senior

Aerodynamic design via control theory

by Antony Jameson - Journal of Scientific Computing , 1988
"... wing design; optimization. flow; inverse I. INTRODUCTION AND HISTORICAL SURVEY Computers have had a twofold impact on the science of aerodynamics. On the one hand numerical simulation may be used to gain new insights into the physics of complex flows. On the other hand computational methods can be u ..."
Abstract - Cited by 324 (63 self) - Add to MetaCart
wing design; optimization. flow; inverse I. INTRODUCTION AND HISTORICAL SURVEY Computers have had a twofold impact on the science of aerodynamics. On the one hand numerical simulation may be used to gain new insights into the physics of complex flows. On the other hand computational methods can be used by engineers to predict the aerodynamic characteristics of

The theory of planned behavior

by Icek Ajzen - Organizational Behavior and Human Decision Processes , 1991
"... Research dealing with various aspects of * the theory of planned behavior (Ajzen, 1985, 1987) is reviewed, and some unresolved issues are discussed. In broad terms, the theory is found to be well supported by empirical evidence. Intentions to perform behaviors of different kinds can be predicted wit ..."
Abstract - Cited by 2754 (9 self) - Add to MetaCart
Research dealing with various aspects of * the theory of planned behavior (Ajzen, 1985, 1987) is reviewed, and some unresolved issues are discussed. In broad terms, the theory is found to be well supported by empirical evidence. Intentions to perform behaviors of different kinds can be predicted

Multivariable Feedback Control: Analysis

by Sigurd Skogestad, Ian Postlethwaite - span (B∗) und Basis B∗ = { ω1 , 2005
"... multi-input, multi-output feed-back control design for linear systems using the paradigms, theory, and tools of robust con-trol that have arisen during the past two decades. The book is aimed at graduate students and practicing engineers who have a basic knowledge of classical con-trol design and st ..."
Abstract - Cited by 564 (24 self) - Add to MetaCart
multi-input, multi-output feed-back control design for linear systems using the paradigms, theory, and tools of robust con-trol that have arisen during the past two decades. The book is aimed at graduate students and practicing engineers who have a basic knowledge of classical con-trol design

A theory of timed automata

by Rajeev Alur , 1999
"... Model checking is emerging as a practical tool for automated debugging of complex reactive systems such as embedded controllers and network protocols (see [23] for a survey). Traditional techniques for model checking do not admit an explicit modeling of time, and are thus, unsuitable for analysis of ..."
Abstract - Cited by 2651 (32 self) - Add to MetaCart
Model checking is emerging as a practical tool for automated debugging of complex reactive systems such as embedded controllers and network protocols (see [23] for a survey). Traditional techniques for model checking do not admit an explicit modeling of time, and are thus, unsuitable for analysis

An integrative theory of prefrontal cortex function.

by Earl K Miller , Jonathan D Cohen - Annual Review of Neuroscience, , 2001
"... Abstract The prefrontal cortex has long been suspected to play an important role in cognitive control, in the ability to orchestrate thought and action in accordance with internal goals. Its neural basis, however, has remained a mystery. Here, we propose that cognitive control stems from the active ..."
Abstract - Cited by 1093 (20 self) - Add to MetaCart
Abstract The prefrontal cortex has long been suspected to play an important role in cognitive control, in the ability to orchestrate thought and action in accordance with internal goals. Its neural basis, however, has remained a mystery. Here, we propose that cognitive control stems from

Planning Algorithms

by Steven M LaValle , 2004
"... This book presents a unified treatment of many different kinds of planning algorithms. The subject lies at the crossroads between robotics, control theory, artificial intelligence, algorithms, and computer graphics. The particular subjects covered include motion planning, discrete planning, planning ..."
Abstract - Cited by 1133 (49 self) - Add to MetaCart
This book presents a unified treatment of many different kinds of planning algorithms. The subject lies at the crossroads between robotics, control theory, artificial intelligence, algorithms, and computer graphics. The particular subjects covered include motion planning, discrete planning

Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory

by Richard M. Shiffrin, Walter Schneider - Psychological Review , 1977
"... The two-process theory of detection, search, and attention presented by Schneider and Shiffrin is tested and extended in a series of experiments. The studies demonstrate the qualitative difference between two modes of information processing: automatic detection and controlled search. They trace the ..."
Abstract - Cited by 845 (12 self) - Add to MetaCart
The two-process theory of detection, search, and attention presented by Schneider and Shiffrin is tested and extended in a series of experiments. The studies demonstrate the qualitative difference between two modes of information processing: automatic detection and controlled search. They trace

Reinforcement Learning I: Introduction

by Richard S. Sutton, Andrew G. Barto , 1998
"... In which we try to give a basic intuitive sense of what reinforcement learning is and how it differs and relates to other fields, e.g., supervised learning and neural networks, genetic algorithms and artificial life, control theory. Intuitively, RL is trial and error (variation and selection, search ..."
Abstract - Cited by 5614 (118 self) - Add to MetaCart
In which we try to give a basic intuitive sense of what reinforcement learning is and how it differs and relates to other fields, e.g., supervised learning and neural networks, genetic algorithms and artificial life, control theory. Intuitively, RL is trial and error (variation and selection
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