Journal of the Franklin Institute, Volume 339Pergamon Press, 2002 Vols. 1-69 include more or less complete patent reports of the U. S. Patent Office for years 1825-1859. cf. Index to v. 1-120 of the Journal, p. [415] |
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Page 221
... output " coincide . 4.3 . Detectability notions Several notions of detectability ( or more precisely zero - detectability ) have been formulated within the ISS framework . A basic definition is the following , see [ 30 ] . Definition ...
... output " coincide . 4.3 . Detectability notions Several notions of detectability ( or more precisely zero - detectability ) have been formulated within the ISS framework . A basic definition is the following , see [ 30 ] . Definition ...
Page 289
... output . The next eight years he did some additional theoretical work on the LMS algorithm [ 24-26 ] and he then ... output of the non - linearity is the output of the neuron ( Fig . 4 ) . A neural network may consist of multiple layers ...
... output . The next eight years he did some additional theoretical work on the LMS algorithm [ 24-26 ] and he then ... output of the non - linearity is the output of the neuron ( Fig . 4 ) . A neural network may consist of multiple layers ...
Page 439
... output , correlation tests , and cross- validation tests . In practice several validation techniques should be ... output : The one - step ahead prediction of the output is defined as ŷ ( k ) = Ê1 [ y ( k − 1 ) , ... , y ( k − ny ) , u ...
... output , correlation tests , and cross- validation tests . In practice several validation techniques should be ... output : The one - step ahead prediction of the output is defined as ŷ ( k ) = Ê1 [ y ( k − 1 ) , ... , y ( k − ny ) , u ...
Contents
Contents | 1 |
Vol 339 No 2 MARCH 2002 | 129 |
PERGAMON ISSN 00160032 | 248 |
Copyright | |
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2002 The Franklin adaptive algorithm analysis angiogenesis applied approach Benjamin Franklin Medal Chebyshev Chebyshev polynomials chirp closed-loop computation consider constraints corresponding coset defined denote detection domain dynamic systems Elsevier Science Ltd encoding energy equation estimation example fault fault-tolerant feedback finite flywheel Franklin Institute Franklin Institute 339 Franklin Institute www.elsevier.com/locate/jfranklin frequency response frequency response functions gain given group machine homomorphism IEEE IEEE Trans implementation input k₁ mapping Mathematics matrix method NARMAX model noise nomograph nonlinear systems observer obtained optimal control optimal control problem output packet paleomagnetic paper parameters performance Petri net phase error PID controller polynomials proposed Published by Elsevier quadratic redundant residual ScienceDirect Section selectivity semiautomata semigroup shown in Fig signal processing simulation solution solve SPRO stability T₁ TDTL Theorem trajectories transfer function transform transitional filter University v₁ variables vector Widrow zero