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    • 1. 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。
    • 3. 发明授权
    • Depth-first search for target value problems
    • 深度搜索目标值问题
    • US08364629B2
    • 2013-01-29
    • US12497326
    • 2009-07-02
    • Tim SchmidtRong ZhouLukas D. KuhnRobert PriceJohan de Kleer
    • Tim SchmidtRong ZhouLukas D. KuhnRobert PriceJohan de Kleer
    • G06F17/00G06N7/00G06N7/08
    • 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。
    • 5. 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
    • Depth-First Search For Target Value Problems
    • 深度优先搜索目标值问题
    • US20110004581A1
    • 2011-01-06
    • US12497326
    • 2009-07-02
    • Tim SchmidtRong ZhouLukas D. KuhnRobert PriceJohan de Kleer
    • Tim SchmidtRong ZhouLukas D. KuhnRobert PriceJohan de Kleer
    • G06N7/04G06F17/30G06N7/02
    • 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。
    • 9. 发明授权
    • Methods and systems for pervasive diagnostics
    • 广泛诊断的方法和系统
    • US07937175B2
    • 2011-05-03
    • US12170542
    • 2008-07-10
    • Johan de KleerRobert PriceLukas D. KuhnRong ZhouMinh Do
    • Johan de KleerRobert PriceLukas D. KuhnRong ZhouMinh Do
    • G06F19/00
    • G05B19/41865G05B23/021G05B23/0243G05B2219/32083G05B2219/33299Y02P90/14Y02P90/16Y02P90/20Y02P90/86
    • Model-based production control systems and methods are presented for constructing plans for controlling operation of a production system with a plant having a plurality of resources to achieve one or more production goals, in which a planner constructs plans for execution in the plant based on production goals while balancing both production objectives (e.g., production cost, production time) and diagnostic objectives (e.g., diagnostic cost, information gained, repair cost), and a diagnosis engine determines a current plant condition based on a previously executed plan and corresponding observations from the plant, and provides expected information gain data to the planner, with the planner generating a plan that will achieve a given production goal and is improved for one or more diagnostic objectives and the expected information gain data.
    • 提出了基于模型的生产控制系统和方法,用于构建用于具有多个资源的工厂来控制生产系统的操作的计划,以实现一个或多个生产目标,其中计划员基于生产构建在工厂中执行的计划 同时平衡生产目标(例如生产成本,生产时间)和诊断目标(例如,诊断成本,获得的信息,维修成本),诊断引擎基于先前执行的计划和相应的观察结果来确定当前工厂条件 并且向计划者提供期望的信息增益数据,计划器产生将实现给定生产目标并且针对一个或多个诊断目标和期望的信息增益数据进行改进的计划。