Publication detail

Design Optimization of Mechatronic System

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

Original Title

Design Optimization of Mechatronic System

Type

book chapter

Language

English

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.

Keywords

control algorithm, Q-learning, neural network

Authors

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

RIV year

2002

Released

1. 1. 2002

Publisher

CRC Press LLC

Location

Florida, USA

ISBN

0-8493-0066-5

Book

Mechatronics Handbook

Edition

neuvedeno

Pages from

34-1

Pages count

14