Knowledge-based supervisory process control: applying fuzzy sets to blackboard control architecture

M. Fathi, K. Holte, Christopher P. Lueg, Ralf Scharnetzki
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Abstract

The blackboard control architecture has proven to be qualified for tasks as complex as supervisory process control. The task structure framework permits a hierarchical decomposition of tasks into subtasks common in the domain of supervisory process control. Qualitative task descriptions based on fuzzy sets grant the integration of the task structure framework while preserving the inherent flexibility of the blackboard control architecture. Fuzzy sets are further qualified to improve the basic control cycle. Linguistic variables allow the specification of control knowledge in a more natural way according to human knowledge.
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基于知识的监督过程控制:模糊集在黑板控制体系结构中的应用
黑板控制体系结构已被证明可以胜任像监督过程控制这样复杂的任务。任务结构框架允许将任务分层分解为监督过程控制领域中常见的子任务。基于模糊集的定性任务描述在保持黑板控制体系结构固有灵活性的同时,实现了任务结构框架的集成。模糊集进一步改善了基本控制周期。语言变量允许根据人类知识以更自然的方式规范控制知识。
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