摘要
综合了神经控制与模糊控制的各自优点，运用模糊隶属规则设计了一种基于模糊规则的多控制器协调控制伺服系统，同常规变结构控制相比，它把前者的点切换拓宽为区间相对平滑的切换，仿真和实验结果表明了控制的有效性。
In this paper,artificial intelligence is applied to traditional mechanical drawing interpretation. Geometric know ledge is represented based on Object Oriented idea. Both bottom up and top down methods are used in the process of interpretation, and distributed problem solving strategy is adopted. Local areas that have sufficient information are interpreted first accumulating information for further interpretation. After sufficient evidence has been accumulated, a mechanical drawing is recognized from part to whole.
基金
国家自然科学基金
香港蒋氏工业慈善基金
关键词
协调控制
神经控制
模糊控制
伺服系统
Artificial intelligence\ \ Drawing recognized\ \ Object Oriented\ \ Distributed problem solving
