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    • 2. 发明申请
    • DEPTH-FIRST SEARCH FOR TARGET VALUE PROBLEMS
    • 深度搜索目标价值问题
    • US20120246193A1
    • 2012-09-27
    • US13483184
    • 2012-05-30
    • Tim SchmidtRong ZhouLukas D. KuhnRobert PriceJohan de Kleer
    • Tim SchmidtRong ZhouLukas D. KuhnRobert PriceJohan de Kleer
    • G06F17/30G06F19/00
    • G06F17/11
    • A method for determining a target path for a model-based control system. The model-based control system includes a directed acyclic graph, where the directed acyclic graph includes a plurality of vertices interconnected by a plurality of edges. The method includes the steps of performing a depth-first search of the directed acyclic graph for the target path. The depth-first search is operative to return an explicit solution or an implicit solution, wherein the implicit solution is determined using a heuristic. The method further includes determining if the depth-first search returned an explicit solution or an implicit solution, and if the depth-first search returned an implicit solution, constructing the target path from the implicit solution. The method may further include constructing a pattern database.
    • 一种用于确定基于模型的控制系统的目标路径的方法。 基于模型的控制系统包括有向非循环图,其中有向非循环图包括由多个边缘互连的多个顶点。 该方法包括以下步骤:针对目标路径执行有向无环图的深度优先搜索。 深度优先搜索可操作以返回显式解或隐式解,其中使用启发式确定隐式解。 该方法还包括确定深度优先搜索是否返回显式解或隐式解,以及如果深度优先搜索返回隐式解,则从隐式解构成目标路径。 该方法还可以包括构造模式数据库。
    • 6. 发明授权
    • Depth-first search for target value problems
    • 深度搜索目标值问题
    • US09460053B2
    • 2016-10-04
    • US13483184
    • 2012-05-30
    • Tim SchmidtRong ZhouLukas D. KuhnRobert PriceJohan de Kleer
    • Tim SchmidtRong ZhouLukas D. KuhnRobert PriceJohan de Kleer
    • G06F17/11
    • G06F17/11
    • A model-based control system for controlling a production system is disclosed. The production system provides jobs and objectives to the model-based control system. The model-based control system includes, a planner operative to provide the production system with a plan, the planner generating the plan using a depth-first target value search. The depth-first target value search being configured to generate the plan with a failure probability most closely approximating a target value. Also provided is a system model operative to model the behavior of the production system. Another aspect of the model-based control system is a diagnosis engine operative to estimate failure probabilities for plans and provide diagnostic guidance to the planner. The model-based control system including the planner, the system model and diagnosis engine are implemented via a digital processing device.
    • 公开了一种用于控制生产系统的基于模型的控制系统。 生产系统为基于模型的控制系统提供了工作和目标。 基于模型的控制系统包括:计划器,用于向生产系统提供计划,计划者使用深度优先目标值搜索生成计划。 深度优先目标值搜索被配置为生成具有最接近目标值的故障概率的计划。 还提供了用于对生产系统的行为进行建模的系统模型。 基于模型的控制系统的另一方面是诊断引擎,用于估计计划的故障概率并向计划者提供诊断指导。 包括计划器,系统模型和诊断引擎在内的基于模型的控制系统通过数字处理装置实现。
    • 8. 发明申请
    • DISCOVERING AND AUTOMATICALLY SIZING A PLACE OF RELEVANCE
    • 发现和自动设置相关位置
    • US20130080457A1
    • 2013-03-28
    • US13627823
    • 2012-09-26
    • Vidya NarayananPawel LukowiczLukas D. KuhnJin Won LeeSanjiv Nanda
    • Vidya NarayananPawel LukowiczLukas D. KuhnJin Won LeeSanjiv Nanda
    • G06F17/30
    • H04W4/021G06F17/30241G06F17/30598H04W4/023H04W4/043H04W4/21H04W64/00Y10S707/921
    • One or more mobile devices make measurements while moving along a path. Each measurement may comprise a specific group of identifiers of wireless transmitters, and strengths of corresponding wireless signals. A set of measurements are made in a sequence along a path, and the subsets of the measurements are identified for satisfying a test on a value of a measure of similarity of measurements included in the subset. A new place of relevance is identified, by comparing the just-described subsets of the measurements with similar subsets of additional measurements (e.g. by clustering). Alternatively, a known place of relevance (e.g. having a label) is identified, by comparing the just-described subsets of the measurements with pre-computed model of measurements. Also, the just-described subsets of the measurements may be compared with corresponding subsets of measurements of another path, e.g. to identify common portions therein.
    • 一个或多个移动设备在沿着路径移动时进行测量。 每个测量可以包括无线发射机的特定组标识符和相应无线信号的强度。 在沿着路径的序列中进行一组测量,并且识别测量的子集以满足对包括在子集中的测量的相似度的测量值的测试。 通过将刚刚描述的测量子集与附加测量的类似子集(例如通过聚类)进行比较来识别新的相关地点。 或者,通过将刚刚描述的测量的子集与预先计算的测量模型进行比较来识别已知的相关位置(例如,具有标签)。 此外,可以将刚刚描述的测量的子集与另一路径的测量的相应子集进行比较,例如。 以识别其中的公共部分。