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Modelling Simulation And Control Of Nonlinear Dynamical Systems An Intelligent Approach Using Soft Computing And Fractal Theory Numerical Insights Hardskt Patricia Melin

Name: Modelling Simulation And Control Of Nonlinear Dynamical Systems An Intelligent Approach Using Soft Computing And Fractal Theory Numerical Insights Hardskt Patricia Melin
SKU: BELL-1795150
Price: 31.00 USD
Availability: InStock
Rating: 4.4 (82 reviews)

SKU: BELL-1795150

Modelling Simulation And Control Of Nonlinear Dynamical Systems An Intelligent Approach Using Soft Computing And Fractal Theory Numerical Insights Hardskt Patricia Melin

$ 31.00 ~~$ 45.00~~ (-31%)

4.4

82 reviews

Modelling Simulation And Control Of Nonlinear Dynamical Systems An Intelligent Approach Using Soft Computing And Fractal Theory Numerical Insights Hardskt Patricia Melin instant download after payment.

Publisher: CRC Press

File Extension: PDF

File size: 13.93 MB

Pages: 262

Author: Patricia Melin, Oscar Castillo

ISBN: 9780415272360, 041527236X

Language: English

Year: 2001

Edition: Har/Dskt

Product desciption

Modelling Simulation And Control Of Nonlinear Dynamical Systems An Intelligent Approach Using Soft Computing And Fractal Theory Numerical Insights Hardskt Patricia Melin by Patricia Melin, Oscar Castillo 9780415272360, 041527236X instant download after payment.

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.