Paper Info
Title
An Adaptive Fuzzy Based System for Time Critical Real World Applications.
Abstract
From a control theory point of view, robotics and artificial intelligence offer exceptionally complex problems. Often the examined control systems have a high number of inputs and outputs, show a black-box behaviour and can not be systematically analyzed due to a vague output and long reaction times. Adaptive behaviour control and enhancement during runtime of robots moving with high speed is such a problem, with the added requirement of real-time capability. In this paper, an adaptive pre-calculated fuzzy system is proposed as a possible solution for this task. The basic structure, construction process and adaption mechanism are described, furthermore the runtime for various dimensions is benchmarked as efficiency aspects are a major contribution of the approach.
Year
DOI
Venue
2012
10.1007/978-3-642-33926-4_35
INTELLIGENT AUTONOMOUS SYSTEMS 12, VOL 1
Field
DocType
Volume
Fuzzy logic,Adaptive behaviour,Control engineering,Artificial intelligence,Control system,Behavior-based robotics,Engineering,Fuzzy control system,Robot,Time critical,Robotics
Conference
193
ISSN
Citations 
PageRank 
2194-5357
0
0.34
References 
Authors
12
4
Name
Order
Citations
PageRank
Christoph Kattmann100.34
Oliver Zweigle2387.18
Kai Häussermann3274.95
Paul Levi425041.99