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Fuzzy quality measures for use in a hierarchical fuzzy controller

机译:分层模糊控制器中使用的模糊质量措施

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This paper presents a control strategy that uses a hierarchical structure to arbitrate between recommendations from lower level modules. The lower level modules represent lower level tasks or behaviors. Each lower level module provides its own control recommendation based on its limited perception of the environment. We introduce the concept of a fuzzy quality measure that may be used by the hierarchical controller to determine how best to fuse the individual recommendations. The Quality Measure provides an approximate determination of each control recommendations potential value. The hierarchical partitioning reduces the cardinality of the rule base and decreases the number of system parameters, as compared to a monolithic structure. Optimization of the reduced parameter set is simpler and requires less time.
机译:本文介绍了一个控制策略,它使用分层结构在较低级别模块之间的建议之间仲裁。较低级别模块代表较低的级别任务或行为。每个较低级别模块根据其对环境的有限感知提供了自己的控制推荐。我们介绍了分层控制器可以使用的模糊质量措施的概念,以确定如何最好地融合各个建议。质量措施提供了每个控制推荐潜在价值的近似确定。与单片结构相比,分层分区减少了规则基础的基数,并降低了系统参数的数量。减少参数集的优化更简单,需要更少的时间。

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