Learning Automata by Narendra Narendra
This self-contained introductory text on the behavior of learning automata focuses on how a sequential decision-maker with a finite number of choices responds in a random environment. Topics include fixed structure automata, variable structure stochastic automata, convergence, 0 and S models, nonstationary environments, interconnected automata and games, and applications of learning automata. A must for all students of stochastic algorithms, this treatment is the work of two well-known scientists and is suitable for a one-semester graduate course in automata theory and stochastic algorithms. This volume also provides a fine guide for independent study and a reference for students and professionals in operations research, computer science, artificial intelligence, and robotics. The authors have provided a new preface for this edition.
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Basic Electricity
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Optimal Filtering
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Adaptive Control
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Introduction to Stochastic Control Theory
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Computer-Controlled Systems
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Control System Design
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Robust Adaptive Controls
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Stable Adaptive Systems
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Digital Processing of Random Signals
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Foundations of Electrodynamics
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Decentralized Control of Complex Systems
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Introduction to Electromagnetic Engineering
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Feedback Control Theory
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Linear Robust Control
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Adaptive Filtering Prediction and Control
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Optimal Control Theory
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Circuits, Matrices and Linear Vector Spaces
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Telecommunications Systems Engineering
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Inductance Calculations
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Stochastic Processes and Filtering Theory
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Protection of Electronic Circuits
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An Introduction to Identification
| SKU | Unavailable |
| ISBN 13 | 9780486498775 |
| ISBN 10 | 0486498778 |
| Title | Learning Automata |
| Author | Narendra Narendra |
| Series | Dover Books On Electrical Engineering |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Dover Publications Inc. |
| Year published | 2013-01-30 |
| Number of pages | 496 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |