
Genetic Algorithms by Kim-Fung Man
Genetic Algorithms (GA) as a tool for a search and optimizing methodology has now reached a mature stage. In fact, because of the uniqueness of the evolutionary process and the gene structure of a chromosome, the GA processing mechanism can take the form ofparallelism and multiobjective.-
Robotics
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Robust Control Design with MATLAB (R)
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Control Engineering
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Lectures in Feedback Design for Multivariable Systems
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Foundations of Robotics
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Digital Self-tuning Controllers
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Statistical Signal Processing
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Discrete-time Stochastic Systems
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Principles of Adaptive Filters and Self-learning Systems
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Soft Computing
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Control of Dead-time Processes
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Model-Reference Adaptive Control
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Analysis and Design of Control Laws for Advanced Driver-Assistance Systems
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Fault Detection and Diagnosis in Industrial Systems
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Hybrid Dynamical Systems
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Discrete-time Signal Processing
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Analysis and Control of Nonlinear Process Systems
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Control of Robot Manipulators in Joint Space
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Introduction to Optimal Estimation
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Automatic Control with Experiments
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Model Predictive Control
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Neural Networks for Modelling and Control of Dynamic Systems
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Control Engineering: MATLAB Exercises
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Stabilization and Regulation of Nonlinear Systems
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Receding Horizon Control
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Control Systems with Input and Output Constraints
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Modeling and Control of Discrete-event Dynamic Systems
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Multivariable Control Systems
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System Identification
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Power Electronic Converters Modeling and Control
From the reviews:
This superb book is suitable for readers from a wide range of disciplines
Assembly Automation 20 (2000) 86
This is a well-written engineering textbook. Genetic algorithms are properly explained and well motivated. The engineering examples illustrate the power of application of genetic algorithms.
Journal of the American Statistical Association March (2002) 366 (Reviewer: William F. Fulkerson)
The book is a good contribution to the genetic algorithm area from an applied point of view. It should be read by engineers, undergraduate or postgraduate students and researchers.
International Journal of Adaptive Control and Signal Processing 19 (2005) 59 – 62 (Reviewer: Doris Saez)
| SKU | Unavailable |
| ISBN 13 | 9781852330729 |
| ISBN 10 | 1852330724 |
| Title | Genetic Algorithms |
| Author | Kim-Fung Man |
| Series | Advanced Textbooks In Control And Signal Processing |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer London Ltd |
| Year published | 1999-02-25 |
| Number of pages | 344 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |





























