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中文摘要：
针对并行协同设计中的参数不确定性,将普通的约束网络扩展为广义动态约束网络,以对设计中的不确定性信息进行管理.建立了包含领域级约束和知识级约束的广义动态约束网络模型;提出了基于仿真分析和自适应响应面法的领域级约束建模的有效方法,并提出模糊-粗糙集算法,对仿真结果进行数据挖掘,实现了知识级约束获取;基于模板技术给出了广义动态约束网络中各种约束的统一表示方法;构造了有效的约束冲突求解策略和一致性求解算法,求出一致性设计区间.最后通过设计实例验证了文中方法的有效性.
英文摘要：
In view of uncertainty of parameters in concurrent and collaborative design, the constraints network is extended to the generalized dynamic constraints network （GDCN） to cope with the uncertainty trouble. First, the model of GDCN including both the domain level and knowledge level constraints is established. Second, the effective method to represent the domain constraints based on simulation results and adaptive response surface approach is introduced, and a data-mining algorithm named fuzzy-rough sets algorithm is developed to mining the knowledge constraint from the numerical simulation data. Then, the unified expression of constraints in GDCN is worked out with template approach, and the clearing up strategy of conflicts among constraints is presented to gain consistent parameter intervals. A design example is illustrated to show effectiveness of this proposed method.
同期刊论文项目
同项目期刊论文
Multidisciplinary robust coordination for algebraic and differential constraints and its application
Knowledge network driven coordination and robust optimization to support concurrent and collaborativ
Multidisciplinary knowledge modeling from simulation and specification to support concurrent and col
Collaborative robust optimization under uncertainty based on generalized dynamic constraints network
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