Detail publikace

Design Optimization of Mechatronic systems

BŘEZINA, T. KRATOCHVÍL, C. ONDRŮŠEK, Č.

Originální název

Design Optimization of Mechatronic systems

Typ

kapitola v knize

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

control algorithm, Q-learning, neural network

Autoři

BŘEZINA, T.; KRATOCHVÍL, C.; ONDRŮŠEK, Č.

Rok RIV

2007

Vydáno

1. 11. 2007

Nakladatel

CRC Press LLC

Místo

Florida, USA

ISBN

978-0-8493-9257-3

Kniha

The Mechatronics Handbook

Edice

Mechatronic systems

Číslo edice

2

Strany od

34-1

Strany počet

14