摘要
云模型是对语言值所蕴含的模糊性和随机性的一种数学描述,它用期望值Ex,熵En和超熵He表征定性概念,将概念的模糊性和随机性集成在一起,是实现知识库中定量与定性之间相互转换的一种新途径.本文论述了模糊子集的云模型表示、基于云模型控制规则的不确定性推理,并设计了船舶航向保持系统的一维与二维云模型控制器.仿真结果表明,该控制器简易、直观、鲁棒性强,具有良好的控制性能和较好的应用价值.
The cloud model is a mathematical representation to fuzziness and randomness in linguistic concepts. It represents a qualitative concept with expected value Ex, entropy Err and hyper entropy He, and integrates the fuzziness and randomness of a linguistic concept in a unified way. This model is a new method for transformation between qualitative and quantitative in the knowledge. This paper presents the cloud model of fuzzy sets, uncertainty reasoning of control rules based on cloud model, and one-dimension and two-dimension cloud model controller for ship course-keeping system. Simulation result shows that the cloud controller is simple and easy, directly perceived through the senses, and has strong robustness, better control performance, and good application.
出处
《江苏科技大学学报（自然科学版）》
CAS
北大核心
2008年第5期11-16,共6页
Journal of Jiangsu University of Science and Technology:Natural Science Edition
关键词
船舶航向保持系统
云模型
定性推理
智能控制
ship course-keeping system
cloud model
qualitative reasoning
intelligent control
