000 02432nam a22004455i 4500
001 978-3-540-31596-4
003 DE-He213
005 20170628034344.0
007 cr nn 008mamaa
008 100806s2005 gw | s |||| 0|eng d
020 _a9783540315964
_9978-3-540-31596-4
024 7 _a10.1007/b98334
_2doi
100 1 _aJanczak, Andrzej.
_eauthor.
245 1 0 _aIdentification of Nonlinear Systems Using Neural Networks and Polynomial Models
_h[electronic resource] :
_bA Block-Oriented Approach /
_cby Andrzej Janczak.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2005.
300 _aXIV, 199 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Control and Information Science,
_x0170-8643 ;
_v310
505 0 _aIntroduction -- Neural network Wiener models -- Neural network Hammerstein models -- Polynomial Wiener models -- Polynomial Hammerstein models -- Applications.
520 _aThis monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surveys various known approaches to the identification of Wiener and Hammerstein systems which are applicable to both neural network and polynomial models. The book gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new and original methods concerning the model parameter adjusting with gradient-based techniques. "Identification of Nonlinear Systems Using Neural Networks and Polynomal Models" is useful for researchers, engineers and graduate students in nonlinear systems and neural network theory.
650 0 _aEngineering.
650 0 _aSystems theory.
650 0 _aPhysics.
650 0 _aVibration.
650 1 4 _aEngineering.
650 2 4 _aControl Engineering.
650 2 4 _aVibration, Dynamical Systems, Control.
650 2 4 _aSystems Theory, Control.
650 2 4 _aComplexity.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540231851
830 0 _aLecture Notes in Control and Information Science,
_x0170-8643 ;
_v310
856 4 0 _uhttp://dx.doi.org/10.1007/b98334
912 _aZDB-2-ENG
999 _c19465
_d19465