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 control systems, including Lyapunov analysis, statistical inference, and comparison to the well-known Kalman filters. We also discuss two monitoring tools for two types of neural networks employed in the NASA F-15 flight control system as adaptive learners: the confidence tool for the outputs of a Sigma-Pi network, and the validity index for the output of a Dynamic Cell Structure (DCS) network.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Tools and Methods for the Verification and Validation of Adaptive Aircraft Control Systems


    Contributors:
    Schumann, Johann (author) / Liu, Yan (author)


    Publication date :

    2007-03-01


    Size :

    9567292 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Toward Verification and Validation of Adaptive Aircraft Controllers

    Schumann, J. / Gupta, P. / Jacklin, S. et al. | British Library Conference Proceedings | 2005


    Toward verification and validation of adaptive aircraft controllers

    Schumann, J. / Gupta, P. / Jacklin, S. | Tema Archive | 2005


    Toward Verification and Validation of Adaptive Aircraft Controllers

    Schumann, J. / Gupta, P. / Jacklin, S. | IEEE | 2005


    Advanced Algorithms for Verification and Validation of Flexible Aircraft with Adaptive Control

    Wagner, Daniel / Henrion, Didier / Hromčík, Martin | AIAA | 2023


    Validation & verification of intelligent and adaptive control systems

    Tallant, G.S. / Bose, P. / Buffington, J.M. et al. | Tema Archive | 2005