介绍了增量式PID算法的具体程序设计，以及参数的整定方法和测试结果分析。
It introduced the program of the increasing type PID algorithm, and parameter installation method and testing result analysis.
在此基础上提出相应的对每一个决策类建立决策矩阵的增量式挖掘算法，最后利用算例验证了算法的合理性和有效性。
After that incremental data mining algorithm of establishing decision matrix to each of decision type is put forward and the characteristic of rationality and validity are examined by example.
最后，使用增量式的概念格生成算法对搜索结果片段进行概念聚类，并从中产生每个聚类的主题。
Finally, incremental algorithm of producing concept lattice is used to carry on concept clustering to the passage of search results, and produced the theme of each cluster result from it.
最后研究了系统实现稳定配比控制的算法，该算法主要采用增量式控制和输出限幅的思想。
Finally, the arithmetic to be applied in stable proportion control is discussed, and it mainly USES the ideas of increment control and limiting output.
论文还另外针对相关项目的研究，讨论了一种简化的增量式PID算法，并很好的应用在该相关项目中。
In the research of relative projects, the simplified incremental PID algorithm is discussed, and it is well applied to the relative projects.
提出了一种新的基于壳向量的增量式支持向量机快速学习算法。
A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed.
针对同步在线草图识别算法中的效率和应用范围问题，提出基于增量式意图提取的识别算法。
In order to promote efficiency and extend applicability of the online synchronous sketch recognition, a sketch recognition algorithm based on incremental intention extraction is presented.
在序列模式的增量式挖掘算法中，IUS算法是目前最为先进的算法。
Of all the incremental mining algorithms, the IUS is the most advanced at present.
该算法将主动式学习、有偏分类和增量学习结合起来，对相关反馈过程中的小样本有偏学习问题进行建模。
The algorithm combines active learning, biased classification and incremental learning to model the small sample biased learning problem in relevance feedback process.
本文对数据成时间序列的动态决策表，用增量式算法提取决策表的规则模型。
In this paper, we extract rules of the decision table by an incremental algorithm for the dynamic decision table of the time series data.
由于所提算法的语义序列只与文本自身相关，所以它适用于增量式聚类。
Since the semantic sequence is only related to text, it is available for incremental clustering.
提出了一种新的量化关联规则挖掘算法QAR及其增量式更新算法IUQAR。
A novel algorithm, QAR, for mining quantitative association rules and an incremental updating algorithm, IUQAR, are proposed.
提出了一种快速、增量式的学习算法。
该系统能对液位进行巡回检测、显示和报警，同时采用增量式PID控制算法对液位进行智能控制。
This control system can not only measure and display the values of fluid level, alarm when the fluid level is not in given level, but also intelligently control it by increment PID.
增量式算法的关键点是在分类正确率和相容度下对属性集进行优级排序，算法的特点是随着数据的增加逐次推导规则。
The key of the algorithm is that the attribute set is sequenced according to the classification correct ratio and the consistent degree.
对步进电机的控制，本文采用了增量式PID算法，增加了系统的稳定性。
The paper USES incremental PID algorithm to control step motor for improve system stability.
主要研究内容包括：(1)提出一种增量式张量子空间学习的目标跟踪算法。
The main contributions of this paper are listed as follows. (1) An incremental tensor subspace learning based object tracking is presented.
根据简化算法的简化方式可将其分为四大类：顶点聚类算法、增量式简化算法、采样算法和自适应细分算法。
The model simplification algorithms can be divided into four main categories: vertex clustering, incremental simplification, the sampling algorithm and adaptive subdivision.
在传统层次聚类基础上，提出并实现了一种基于距离的增量式聚类算法，并应用于粮食智能决策支持系统中。
In this paper an incremental distance cluster arithmetic based on traditional level cluster arithmetic is proposed and realized.
为一种新颖的、增量式的线性时间运算方法，该算法生成的数据结构非常紧凑，节约了大量的存储空间。
For the linear time operation methods of a kind of novel one, increment type, the data structure that this algorithm produces is very compact, have economized a large number of memory Spaces.
在此基础上提出一种基于改进差别矩阵的核增量式更新算法，主要考虑对象动态增加情况下核的更新问题。
The authors introduced an incremental updating algorithm for computing core based on improved discernibility matrix, which mainly considered core updating when objects dynamically increased.
进行增量式PID控制算法的设计，并由MATLAB语言编程实现。
The increasing PID controlling algorithm is designed and implemented by MATLAB programming.
文中提出了增量式模糊控制的概念，给出一种易于用低挡次微机实现的智能自适应控制算法，即PID—增量式模糊自适应控制算法。
The paper puts forward the concept of increment Form Fuzzy control and shows an intelligent adaptive control algorithm, that is, PID-increment Form Fuzzy adaptive control which is easy to be real...
本文的研究工作主要包括以下两个方面：一方面，提出了基于数据库变化的关联规则增量式更新算法。
The work of author mainly focuses on two aspects in the following:On one hand, an incremental updating algorithm for mining association rules based on the change of database is proposed.
并基于新模型提出了一种增量式码率控制算法。
Furthermore, an incremental rate control algorithm is proposed.
文中提出了增量式模糊控制的概念，给出一种易于用低挡次微机实现的智能自适应控制算法，即PID—增量式模糊自适应控制算法。
The paper puts forward the concept of increment Form Fuzzy control and shows an intelligent adaptive control algorithm, that is, PID-increment Form Fuzzy adaptive...
摘 要：在增量式关联规则更新算法的研究中，关于负增量式更新算法的研究比较少。
Absrtact: In the study of updating algorithm for incremental association rules, litde research has been done on the negative incremental updating algorithm.
摘 要：在增量式关联规则更新算法的研究中，关于负增量式更新算法的研究比较少。
Absrtact: In the study of updating algorithm for incremental association rules, litde research has been done on the negative incremental updating algorithm.
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