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 432
... domain characteristics . Frequency domain methods give good intuitive information and are often an important first step in data analysis [ 2 ] . For example , the objective of the identification may be simply to gain a general insight ...
... domain characteristics . Frequency domain methods give good intuitive information and are often an important first step in data analysis [ 2 ] . For example , the objective of the identification may be simply to gain a general insight ...
Page 453
... domain versus time domain methods in system identification , Automatica 17 ( 1 ) ( 1981 ) 71-86 . [ 2 ] H.A. Barker , K.R. Godfrey , System identification with multi - level periodic perturbation signals , Control Eng . Practice 7 ...
... domain versus time domain methods in system identification , Automatica 17 ( 1 ) ( 1981 ) 71-86 . [ 2 ] H.A. Barker , K.R. Godfrey , System identification with multi - level periodic perturbation signals , Control Eng . Practice 7 ...
Page 544
... domain in the space of feedback gains of the PID controller is usually less than that of the PD controller but the accuracy of the PID is better than the accuracy of the PD controller . Now , consider a controllable linear time ...
... domain in the space of feedback gains of the PID controller is usually less than that of the PD controller but the accuracy of the PID is better than the accuracy of the PD controller . Now , consider a controllable linear time ...
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