The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In order to improve the performance of fuzzy controller, used MATLAB Function modules in fuzzy controller to dynamically adjust the quantitative factors of error and error change rate. First, divided the whole process of the system output into several stages according to error and error change rate; second, respectively set the quantitative factors of error and error change rate in each stage of error...
Creating fuzzy control rules is a core of fuzzy control system. With the development and improvement of data mining technology, in this paper, making use of the feature of data mining clustering algorithms to classify the similar characteristic data are classified as a class, and combining the theory of generating fuzzy control rules, a new way is proposed to acquire fuzzy rules.
Currently, a large number of clustering algorithms are available for data mining. But it will be difficult for people who to a large extent know little about data mining to select an appropriate clustering algorithm. In order to solve this problem, in this paper, we first comprehensively analyze a number of clustering algorithms, then summarize their evaluation criteria and apply the so-called fuzzy...
Interference between the rules is an important index of the static features of a fuzzy controller. The traditional calculation of the interference density is based on fuzzy mathematics, which is not easy to put it into use because of its intricacy. The feasibility of calculating interference density by relative Euclidean distance is discussed with the help of tests in the article. The tests show that...
Because fuzzy control rules play an important part in determining the quality of a fuzzy controller, when the fuzzy control rules are extracted, the problem about how to get rid of the unreasonable or incompatible rules should be considered, when it is in the field where people is inexperienced. To better the quality of the fuzzy controller, a method of revising the rule which is incompatible with...
Phase plane analyzing approach is an intuitive graphical way for the analysis of fuzzy control system, and it can invert the movement of a first and second order system into the track of position and velocity in the phase plane, which is very important to further improve the whole system. However, it can't go without expertise and it is vague in the phase track drawing for stability determination...
Due to the nonlinear and time-variant characteristics of a complicate industrial process, modern industrial control engineers are more likely to adopt fuzzy control method. In a fuzzy controller, its core is a group of fuzzy control rules. This paper presents some data mining methods to generate the language variables on which fuzzy control rules' generation depends. These methods are incremental...
The pressure of gas-collecting pipe is the main technology parameter in the production of coke oven. At present, people have adopted the advanced strategy that combined fuzzy control and expert controlling together in lots of factories. Fuzzy rules are generally created based on experience conclusions. It is in the basic of experience. This paper applies data mining to intelligent control, and it...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.