Modelling, Simulation and Control of Non-Linear Dynamical Systems An Intelligent Approach Using Soft Computing and Fractal Theory
These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illu...
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Main Authors: | , |
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Format: | Book |
Language: | English |
Published: |
London, New York
Taylor & Francis
2002
©2002 |
Series: | Numerical insights ;
v. 2. |
Subjects: | |
Online Access: | Click Here to View Status and Holdings. |
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Summary: | These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming language. Second, a new fuzzy-genetic approach to automated simulation of dynamical systems is presented. It is illustrated with examples in the MATLAB programming language. Third, a new method for model-based adaptive control using a neuro-fussy fractal approach is combined with the methods mentioned above. This method is illustrated with MATLAB. Finally, applications of these new methods are presented, in the areas such as biochemical processes, robotic systems, manufacturing, food industry and chemical processes. |
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Physical Description: | xi, 249 pages illustartions 26 cm. 1 computer disk (3 1/2 in.) |
Bibliography: | Includes bibliographical references (p. [215]-224) and index. |
ISBN: | 041527236X 9780415272360 |