[PDF.38ss] Deterministic Learning Theory for Identification, Recognition, and Control (Automation and Control Engineering)
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Deterministic Learning Theory for Identification, Recognition, and Control (Automation and Control Engineering)
Cong Wang, David J. Hill
[PDF.gj04] Deterministic Learning Theory for Identification, Recognition, and Control (Automation and Control Engineering)
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| #5788155 in Books | CRC Press | 2009-07-21 | Original language:English | PDF # 1 | 9.30 x.80 x6.20l,1.10 | File type: PDF | 207 pages | ||About the Author|National Natural Science Foundation of China, Haidian, Beiji The University of Texas at Arlington, USA
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 control of linear uncertain systems. Unlike many books currently available that focus on statistical principles, this book stresses learning through closed-lo...
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