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1. 发明申请

US20050107894A1 Method, apparatus, and program product for matching multivariate data to fuzzy sets 有权
标题翻译：用于将多变量数据与模糊集匹配的方法，装置和程序产品
公开(公告)号：US20050107894A1
公开(公告)日：2005-05-19
申请号：US10712563
申请日：2003-11-13
申请人： Joseph Bigus , Donald Schlosnagle
发明人： Joseph Bigus , Donald Schlosnagle
IPC分类号： G05B13/02 , G06F9/44 , G06N7/02 , G06N7/06
CPC分类号： G05B13/0275
摘要： Disclosed is a controller that includes a curve matching mechanism. The curve matching mechanism employs Fuzzy Logic to compare input curves to standard curves and to thereby characterize the input curves. Also disclosed in an automotive environment for the curve matching mechanism in which a Fuzzy Controller is used to receive time series data (i.e., input curves) and to present the input curves to the curve matching mechanism. The controller then uses the output of the curve matching mechanism to adjust engine function.
摘要翻译：公开了一种包括曲线匹配机构的控制器。曲线匹配机制采用模糊逻辑将输入曲线与标准曲线进行比较，从而表征输入曲线。还在用于曲线匹配机制的汽车环境中公开了其中使用模糊控制器来接收时间序列数据（即，输入曲线）并将输入曲线呈现给曲线匹配机构。然后，控制器使用曲线匹配机构的输出来调整发动机功能。

2. 发明申请

US20070016551A1 Object-oriented framework for generic adaptive control 审中-公开
标题翻译：面向对象的通用自适应控制框架
公开(公告)号：US20070016551A1
公开(公告)日：2007-01-18
申请号：US11524622
申请日：2006-09-21
申请人： Joseph Bigus , Joseph Hellerstein , Sujay Parekh , Jeffrey Pilgrim , Donald Schlosnagle , Mark Squillante , Jayram Thathachar
发明人： Joseph Bigus , Joseph Hellerstein , Sujay Parekh , Jeffrey Pilgrim , Donald Schlosnagle , Mark Squillante , Jayram Thathachar
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F11/3495 , G06F9/5083 , G06F9/541 , Y10S707/99931 , Y10S707/99932
摘要： A system and method are described for constructing and implementing generic software agents for automated tuning of computer systems and applications. The framework defines the modules and interfaces to allow agents to be created in a modular fashion. The specifics of the target system are captured by adaptors that provide a uniform interface to the target system. Data in the agent is managed by a metric manager, and controller modules implement the desired control algorithms. The modular structure and common interfaces allow for the construction of generic agents that are applicable to a wide variety of target systems, and can use a wide variety of control algorithms.
摘要翻译：描述了一种用于构建和实现用于计算机系统和应用的自动调谐的通用软件代理的系统和方法。框架定义了模块和接口，以允许以模块化方式创建代理。目标系统的细节由为目标系统提供统一接口的适配器捕获。代理中的数据由度量标准管理器管理，控制器模块实现所需的控制算法。模块化结构和公共接口允许构建适用于各种目标系统的通用代理，并且可以使用各种各样的控制算法。

3. 发明申请

US20050065753A1 Apparatus and method for monitoring system health based on fuzzy metric data ranges and fuzzy rules 审中-公开
标题翻译：基于模糊度量数据范围和模糊规则监测系统健康的装置和方法
公开(公告)号：US20050065753A1
公开(公告)日：2005-03-24
申请号：US10670149
申请日：2003-09-24
申请人： Joseph Bigus , Donald Schlosnagle
发明人： Joseph Bigus , Donald Schlosnagle
IPC分类号： G06F9/44 , G06F11/30 , G06F15/00 , G06N7/02 , G06N7/06 , G21C17/00
CPC分类号： G06N5/048 , G06F11/3409 , G06F11/3447
摘要： A method and apparatus for determining the status of a computer system and software applications running on that system and displaying the status to a system administrator are provided. With the apparatus and method, metrics related to a particular application or subsystem are identified and then collected over a predetermined period of time using a data monitoring or collection facility to generate metric history data. Once collected, the metric history data is analyzed by computing a set of parameters representing statistical measures of the metric history data. A set of fuzzy rules are used to define the relationships between metrics and the ultimate application or subsystem status. This metric history analysis phase may be performed periodically such that the fuzzy sets are dynamically redefined at periodic intervals. The fuzzy rules are then evaluated using a fuzzy reasoning process and an overall status indication is generated. As system performance or status changes, the monitoring system can adapt by changing the shape of the “normal” fuzzy set based on the distribution of metric values. The rules may remain the same but the fuzzy set may change dynamically. This greatly reduces maintenance costs since the monitoring rule set can be slowly tuned over time, while the underlying “normal” fuzzy sets could be adjusted as often as needed. Thus, the method and apparatus provide a mechanism to express the knowledge about the key underlying relationships as fuzzy rules and then to automatically tailor the fuzzy sets that are referenced in the fuzzy rules using statistical data mining techniques.
摘要翻译：提供了一种用于确定计算机系统的状态的方法和装置以及在该系统上运行的软件应用程序并向系统管理员显示状态。利用该装置和方法，使用数据监视或收集设备来识别与特定应用或子系统相关的度量，并且在预定的时间段内收集度量以产生度量历史数据。一旦收集，通过计算表示度量历史数据的统计度量的一组参数来分析度量历史数据。一组模糊规则用于定义度量与最终应用或子系统状态之间的关系。可以周期性地执行该度量历史分析阶段，使得模糊集合以周期性间隔动态重新定义。然后使用模糊推理过程来评估模糊规则，并且生成总体状态指示。随着系统性能或状态的变化，监控系统可以通过根据度量值分布改变“正常”模糊集的形状来适应。规则可能保持不变，但模糊集可能会动态变化。这大大降低了维护成本，因为监控规则集可以随着时间缓慢调整，而基本的“正常”模糊集可以根据需要进行调整。因此，该方法和装置提供了将关键基础关系的知识表达为模糊规则的机制，然后使用统计数据挖掘技术来自动定制在模糊规则中引用的模糊集合。

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