Modelling, Simulation and Control of Non-linear Dynamical Systems Modelling, Simulation and Control of Non-linear Dynamical Systems

Modelling, Simulation and Control of Non-linear Dynamical Systems

An Intelligent Approach Using Soft Computing and Fractal Theory

    • $77.99
    • $77.99

Publisher Description

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 la

GENRE
Science & Nature
RELEASED
2001
October 25
LANGUAGE
EN
English
LENGTH
262
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
23.7
MB

More Books Like This

Next Generation Data Technologies for Collective Computational Intelligence Next Generation Data Technologies for Collective Computational Intelligence
2009
Model-Based Reinforcement Learning Model-Based Reinforcement Learning
2022
Mathematical Methods in Interdisciplinary Sciences Mathematical Methods in Interdisciplinary Sciences
2020
Introduction to Fuzzy Logic using MATLAB Introduction to Fuzzy Logic using MATLAB
2006
Autonomous Learning Systems Autonomous Learning Systems
2012
Analysis and Design of Intelligent Systems Using Soft Computing Techniques Analysis and Design of Intelligent Systems Using Soft Computing Techniques
2007

More Books by Patricia Melin & Oscar Castillo

New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
2018
Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction
2017
New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
2016
New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics
2024
Type-3 Fuzzy Logic in Time Series Prediction Type-3 Fuzzy Logic in Time Series Prediction
2024
New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms
2024