Modelling, Simulation and Control of Non-linear Dynamical Systems: An Intelligent Approach Using Soft Computing and Fractal Theory

by Patricia Melin, Oscar Castillo

Overview

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.

Product Details

ISBN-13:	9780367455101
Publisher:	CRC Press
Publication date:	12/02/2019
Pages:	262
Product dimensions:	7.00(w) x 10.00(h) x (d)

About the Author

Melin, Patricia; Castillo, Oscar

Table of Contents

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.