Soft Computing in Mechatronics
Published on 31. August 1999
Book
Hardback
VIII, 200 pages
978-3-7908-1212-1 (ISBN)
Description
Recently soft computing, which covers fuzzy, neuro, probabilistic reasoning, chaos, and evolutionary computation, has been studied in mechatronics by many researchers. Such research trends are summarized in this volume. The topics include fundamentals of control and learning, navigation, vision, multimedia, and several robotics implementation such as inverted pendulum, autonomous vehicle, and ping-pong robot. The contributors are leading experts from various countries. The book will be a great help to those who have an interest in mechatronics and soft computing, e.g., senior or graduate students and researchers in industry.
More details
Series
Edition
1999 ed.
Language
English
Place of publication
Heidelberg
Germany
Target group
College/higher education
Professional and scholarly
Research
Illustrations
108 s/w Abbildungen
VIII, 200 p. 108 illus.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
461 gr
ISBN-13
978-3-7908-1212-1 (9783790812121)
Schweitzer Classification
Content
K. Nakano, M. Tomizuka: Stability Analysis of Fuzzy Logic Control System.- W. Ilg, T. Mühlfriedel, K. Berns, R. Dillmann: Hybrid Learning Concepts for a Biological Inspired Control of Periodic Movements for Walking Machines.- C.-T. Chen, R.D. Quinn, R.E. Ritmann: The Cockroach Escape Response Circuit Provides an Excellent Basis for a Crash Avoidance System.- Y. Abe, T. Fukuda, F. Arai, M. Shikano: Vision Based Navigation System Considering Error Recovery for Autonomous Mobile Robot.- T. Hashimoto, M. Sato, T. Yamaguchi, K. Hirota: Welfare Intelligent Robots and Their Emotion Oriented Interface.- K. Tanaka, D. Oku, H.O. Wang: Intelligent Control of a Ping-Pong Robot.- J. Xiao, Z. Michalewicz: An Evolutionary Computation Approach to Robot Planning and Navigation.- K. Oh, K. Hirota: Multimedia Information Acquisition for Robotics.- J. Yi, N. Yubazaki, K. Hirota: Control of Automatic Guided Vehicle by SIRMs Connected Fuzzy Inference Model.