Diagnosis information in meta-rule adaptive fuzzy systems

Meta-rule based adaptation methods are presented and discussed from the viewpoint of using fault diagnosis information in adapting a control system. Using fault diagnosis information in the parameterization of controllers is presented as a way to improve the performance of controllers in cases where faults, damages or a changing environment affect the behavior of a process or a device. The meta-rule approach, which is commonly used in control systems, is extended to cover information produced by a fault diagnosis system. The background of the methods presented is knowledge engineering with fuzzy logic and other intelligent techniques.