Modelling, Simulation and Control of Non-linear Dynamical Systems: An Intelligent Approach Using Soft Computing and Fractal Theory (Numerical Insights)
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Modelling, Simulation and Control of Non-linear Dynamical Systems: An Intelligent Approach Using Soft Computing and Fractal Theory (Numerical Insights) (2001)
EN NW FE EB DLISBN: 9781420024524 bzw. 1420024523, in Englisch, 262 Seiten, CRC Press, neu, Erstausgabe, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, ebook for download, Free shipping.
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. Kindle Edition, Edition: 1, Format: Kindle eBook, Label: CRC Press, CRC Press, Product group: eBooks, Published: 2001-10-25, Release date: 2001-10-25, Studio: CRC Press.
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. Kindle Edition, Edition: 1, Format: Kindle eBook, Label: CRC Press, CRC Press, Product group: eBooks, Published: 2001-10-25, Release date: 2001-10-25, Studio: CRC Press.
2
Modelling, Simulation and Control of Non-linear Dynamical Systems : An Intelligent Approach Using Soft Computing and Fractal Theory
EN NW EB DLISBN: 9781420024524 bzw. 1420024523, in Englisch, CRC Press, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, Despatched same working day before 3pm.
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.
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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