On the Advantages of Periodic Excitation in System Identification
暂无分享,去创建一个
[1] Johan Schoukens,et al. Survey of excitation signals for FFT based signal analyzers , 1988 .
[2] Keith R. Godfrey,et al. Correlation methods , 1980, Autom..
[3] K. Godfrey. The Theory of the Correlation Method of Dynamic Analysis and its Application to Industrial Processes and Nuclear Power Plant , 1969 .
[4] Manfred R. Schroeder,et al. Synthesis of low-peak-factor signals and binary sequences with low autocorrelation (Corresp.) , 1970, IEEE Trans. Inf. Theory.
[5] K. R. Godfrey,et al. Introduction to binary signals used in system identification , 1991 .
[6] Lennart Ljung,et al. Frequency domain versus time domain methods in system identification , 1981, Autom..
[7] Rik Pintelon,et al. Design of broadband excitation signals , 1993 .
[8] J. Schoukens,et al. Nonparametric frequency response function estimators based on nonlinear averaging techniques , 1992 .
[9] J. Schoukens,et al. Peak factor minimization using a time-frequency domain swapping algorithm , 1988 .
[10] E. C. Levy. Complex-curve fitting , 1959, IRE Transactions on Automatic Control.
[11] Heinrich Rake,et al. Binary Multifrequency Signals - Synthesis and Application , 1979 .
[12] Rik Pintelon,et al. Discrete-time modeling and identification of continuous-time systems: a general framework , 1991 .
[13] A. Bos,et al. Synthesis of discrete-interval binary signals with specified Fourier amplitude spectra , 1979 .
[14] Martin B. Zarrop,et al. Optimal experiment design for dynamic system identification , 1977 .