摘要
针对实际系统所具有的内在不确定性,提出了一种具有学习能力和通信能力的混合型模糊Agent结构,该结构由学习模块、通信模块、控制算法模块、知识模块和输入输出模块组成.文中根据Agent本身所具有的模糊性,定义了它的模糊愿望集、模糊信念集及模糊意图集,介绍了每个模块的作用及工作原理,同时给出了Agent以自治方式工作的流程图.仿真结果表明,这种混合型模糊Agent可实现对复杂系统在3种状态下的稳定控制,具有较强的学习能力和适应性.
In order to overcome the intrinsic uncertainty of practical systems, a hybrid fuzzy Agent structure with learning and communication capabilities is first proposed, which consists of five modules-learning, communication, control, knowledge and input-output modules. Then, the sets of fuzzy desire, fuzzy belief and fuzzy intention are defined according to the fuzziness of the Agent. Besides, the function and operation mechanism of each module are introduced, and the operation flowchart of the Agent in an autonomy mode is presented. Simulated results indicate that the proposed hybrid fuzzy Agent realizes the stability control of a complex system in three states, and possesses high learning rate and strong robust.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第1期129-132,137,共5页
Journal of South China University of Technology(Natural Science Edition)
基金
国家自然科学基金重点项目(60534040)
华南理工大学自然科学青年基金资助项目(B05E5060080)
