The adaptive inverse control technique effectively compensates for uncertain parameters in linear and nonlinear systems. The acquiescent characteristics of Neural networks based AIC for uncertain systems are ensuring much research interest in recent times. Researchers have attempted to solve the adaptive stabilization problem for a class of high-order nonlinear systems with inverse dynamics and nonlinear parameterization with partial state-feedback [1].


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    Title :

    NN-Based High-Order Adaptive Compensation Framework for Signal Dependencies


    Additional title:

    Studies in Systems, Decision and Control


    Contributors:


    Publication date :

    2021-07-23


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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