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2007 IEEE Aerospace Conference
The appeal of adaptive control to the aerospace domain should be attributed to the neural network models adopted in online adaptive systems for their ability to cope with the demands of a changing environment. However, continual changes induce uncertainty that limits the applicability of conventional validation techniques to assure the reliable performance of such systems. In this paper, we present several advanced methods proposed for verification and validation (V&V) of adaptive controldoi:10.1109/aero.2007.352766 fatcat:jvbiw4wkm5cphg5wtm5fthw5iu