Our main accomplishment this past year has been to finalize and apply two approaches to output feedback adaptive control. The first is a direct adaptive approach, while the second uses a new error state observe. Both approaches overcome the limitation of earlier adaptive state observer based methods, which require that the order of the plant be known, and impose severe restrictions on the relative degree of regulated output variables. Within this context, we also have continued to exploit our approach for adaptive hedging' of actuator limits, which was the highlight of last year's report. We have also made some progress in the area of decentralized adaptive control. Our most significant interactions have been with NASA Marshall, NASA Ames, Wright Patterson AFB, Eglin AFB, Boeing and Lockheed.


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    Title :

    Neural Network Based Adaptive Control of Uncertain and Unknown Nonlinear Systems


    Contributors:

    Publication date :

    2001


    Size :

    8 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





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