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  1. Deterministic Learning Theory for Identification, Recognition, and Control

    By Cong Wang, David J. Hill

    Series: Automation and Control Engineering

    Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and...

    Published July 20th 2009 by CRC Press

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