An Adaptive Fuzzy Based System for Time Critical Real World Applications
作者： Christoph Kattmann , Oliver Zweigle , Kai Häussermann , Paul Levi
DOI: 10.1007/978-3-642-33926-4_35
关键词: Control engineering 、 Fuzzy logic 、 Process (engineering) 、 Engineering 、 Control theory 、 Artificial intelligence 、 Control system 、 Behavior-based robotics 、 Fuzzy control system 、 Robotics 、 Robot
摘要: From a control theory point of view, robotics and artificial intelligence offer exceptionally complex problems. Often the examined systems have high number inputs outputs, show black-box behaviour can not be systematically analyzed due to vague output long reaction times. Adaptive enhancement during runtime robots moving with speed is such problem, added requirement real-time capability. In this paper, an adaptive pre-calculated fuzzy system proposed as possible solution for task. The basic structure, construction process adaption mechanism are described, furthermore various dimensions benchmarked efficiency aspects major contribution approach.
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