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008 101129t2010 flua f b 001 0 eng d
020 _a9780849375538 (alk. paper)
020 _a0849375533 (alk. paper)
039 9 _a201107140031
_bVLOAD
_c201101261555
_dfauzi
_y201011291510
_zshah
040 _aUMP
090 _aTJ217.5 .W36 2010
100 1 _aWang, Cong
245 1 0 _aDeterministic learning theory for identification, recognition, and control /
_cCong Wang, David J. Hill
250 _a1st ed.
260 _aBoca Raton :
_bCRC Press,
_cc2010
300 _axix, 195 p. :
_bill. ;
_c25 cm.
490 1 _aAutomation and control engineering ;
_v32
504 _aIncludes bibliographical references and index
505 0 _aRBF network approximation and persistence of excitation -- The deterministic learning mechanism -- Deterministic learning from closed-loop control -- Dynamical pattern recognition -- Pattern-based intelligent control -- Deterministic learning with output measurements -- Toward human-like learning and control
650 0 _aIntelligent control systems
650 0 _aNeural networks (Computer science)
650 0 _aControl theory
700 1 _aHill, David J.
830 0 _aAutomation and control engineering ;
_v32
856 4 1 _3Table of contents only
_uhttp://www.loc.gov/catdir/toc/ecip0827/2008038057.html
999 _aVIRTUA40
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