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Modelling, Simulation and Control of Non-linear Dynamical Systems

An Intelligent Approach Using Soft Computing and Fractal Theory

Patricia Melin Oscar Castillo

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CRC Press
02 December 2019
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.
By:   Patricia Melin, Oscar Castillo
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 254mm,  Width: 178mm, 
Weight:   454g
ISBN:   9780367455101
ISBN 10:   0367455102
Pages:   262
Publication Date:   02 December 2019
Audience:   College/higher education ,  Professional and scholarly ,  A / AS level ,  Further / Higher Education
Format:   Paperback
Publisher's Status:   Active
Introduction to Modeling, Simulation and Control of Non-linear Dynamical Systems. Fuzzy Logic for Modeling Neural Networks for Control. Genetic Algorithms and Fractal Theory for Modeling and Simulation. Fuzzy-Fractal Approach for Adaptive Model-Based Control. Advanced Applications of Automated Modeling and Simulation. Advanced Applications of Automated Mathematical Modeling and Simulation. Advanced Applications of Adaptive Model-Based Control.

Melin, Patricia; Castillo, Oscar

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