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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Evaluating Fuzzy Controller Robustness Using Model Checking
verfasst von : Giuseppe Della Penna, Benedetto Intrigila, Daniele Magazzeni
Erschienen in: Fuzzy Logic and Applications
Verlag: Springer Berlin Heidelberg
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Fuzzy control is well known as a powerful technique for designing and realizing controllers. However, statistical evidence for their correct behavior may be not enough, even when it is based on a large number of samplings. Therefore, much work is being done to provide a systematic verification of fuzzy controllers and to asses their
robustness
, that is the ability of a controller to maintain good performance even in the presence of significant disturbances or parameter variations. In the present paper, we introduce a model checking based methodology for the fuzzy controller robustness analysis, that can be applied on plant-controller pairs in a nearly automatic way, giving higher precision results than other approaches, such as cell mapping. We support our conclusions with a case study that compares two different fuzzy controllers for the inverted pendulum on a cart problem.