Publication detail
Design Optimization of Mechatronic System
BŘEZINA, T. KRATOCHVÍL, C. ONDRŮŠEK, Č.
English title
Design Optimization of Mechatronic System
Type
book chapter
Language
en
Original abstract
Mechatronic conceptions are most frequently characterized as synergistic conjunction of the mechanics, electrotechnics and computer science. Computer science as a platform of the realization of control algorithms especially increasingly runs the soft computing algorithms. Soft computing differs from conventional (hard) computing in the basic principle: it exploits the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. The most important components of soft computing are fuzzy logic, neural network theory, probabilistic reasoning, genetic algorithm, chaos theory and parts of machine learning theory. Fundamental issue is that the principal contributions of cited components are complementary, not competitive (leading on hybrid systems creation, etc.). The survey of the most interesting ideas of learning used in soft computing is introduced in this contribution.
English abstract
Mechatronic conceptions are most frequently characterized as synergistic conjunction of the mechanics, electrotechnics and computer science. Computer science as a platform of the realization of control algorithms especially increasingly runs the soft computing algorithms. Soft computing differs from conventional (hard) computing in the basic principle: it exploits the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. The most important components of soft computing are fuzzy logic, neural network theory, probabilistic reasoning, genetic algorithm, chaos theory and parts of machine learning theory. Fundamental issue is that the principal contributions of cited components are complementary, not competitive (leading on hybrid systems creation, etc.). The survey of the most interesting ideas of learning used in soft computing is introduced in this contribution.
Keywords in English
control algorithm, Q-learning, neural network
RIV year
2002
Released
01.01.2002
Publisher
CRC Press LLC
Location
Florida, USA
ISBN
0-8493-0066-5
Book
Mechatronics Handbook
Pages count
14
BIBTEX
@inbook{BUT54852,
author="Tomáš {Březina} and Ctirad {Kratochvíl} and Čestmír {Ondrůšek},
title="Design Optimization of Mechatronic System",
booktitle="Mechatronics Handbook",
year="2002",
month="January",
publisher="CRC Press LLC",
address="Florida, USA",
isbn="0-8493-0066-5"
}