摘要：
An environment is a very complex and large system. This paper describes it with the aid of the grey systems approach. Firstly, the grey system and grey process are outlined then the latest researches on grey prediction and control of environmental systems are presented. This kind of systems designed here is best suited for investigating the environmental objects with "poor" information.
摘要：
This article put forward a sample processing method using fuzzy clustering and studied the application of fuzzy competition classification method in extracting contradiction samples, then advanced the diagnosis method of neural network based on fuzzy clustering, finally carried on the simulation research. The calculation results show that all the above-mentioned methods are quite practical.
期刊：
Systems Science,2005年2(3):141-150 ISSN：0137-1223
通讯作者：
Chen, M.-Y.(mychen@mail.hust.edu.cn)
作者机构：
[Chen, Mian-Yun; Chen, Weizhen] Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;[Chen, Zhijie] Department of Management Engineering, Wuhan Institute of Science and Technology, Wuhan 430073, China;[Chen, Weizhen] Department of Information and Electrical Engineering, Wuhan Polytechnic University, Wuhan 430023, China
摘要：
This paper presents an outline of complicated system and the use of grey system theory. An approach to grey forecasting control of complicated systems is proposed. At the same time, a grey forecasting controller, which is to control the system's behaviour in advance, is designed. Such a system designed here may be expected to get good control effects, especially it is suitably applied to the controlled objects with long time lag and without complete model information.
摘要：
A method is put forward to forecast the Metal Oxide Arrester's (MOA:s) state based on the recursive neural network. By compared with the real example, it is better than the usual BP algorithm. In order to realize the intellectual diagnosis and forecast of the MOA's state, we provide an effective method.
关键词：
coupling of magnetic and electric equations;permanent magnet axial-field brushless DC motor;phase belt moving model;varying network circuit
摘要：
Several approaches have been developed for a better simulation of disc type permanent magnet axial magnetic field brushless DC motor (AMF BLDCM). Combining transient electromagnetic field equation with varying network electric circuit equation, and taking into account of the effect of 3-D distribution of air gap magnetic field in disc type motor, an accurate mathematical model simulating the dynamic performances of BLDCM system of disc type is developed in this paper. The phase belt moving model dealing with the rotor movement in disc type motor is also built up. Finally, the method is applied to the analysis of a prototype motor, and the calculated results agree well with the experimented ones.
