Generalized binary noise test-signal concept for improved identification-experiment design

Automatica

Volumn 26, Issue 1, 1990, Pages 37-49

  Tulleken, Herbert J A F ^a  

^a SHELL RESEARCH AND TECHNOLOGY CENTRE   (Netherlands)

Author keywords

Identification; optimal experiment design; parameter estimation

Indexed keywords

CONTROL SYSTEMS, ADAPTIVE--DESIGN; PROCESS CONTROL--MATHEMATICAL MODELS; SIGNAL FILTERING AND PREDICTION;

GENERALIZED BINARY NOISE; OPTIMAL EXPERIMENT DESIGN; PARAMETER ESTIMATION; SIGNAL SWITCHING; SYSTEM IDENTIFICATION;

CONTROL SYSTEMS;

EID: 0025241205     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/0005-1098(90)90156-C     Document Type: Article

References (13)

1. On the choice of sampling rates in parametric identification of time series
2. Analysis of the identification of closed-loop systems using least-squares methods
3. Frequency of input signal in identification
4. Dynamic System Identification: Experiment Design and Data Analysis
5. A square root filter for real time multivariate regression
6. Survey of excitation signals for FFT based signal analyzers
7. A multivariable adaptive forgetting strategy for on-line identification in a self-tuning controller
8. A generalised binary noise test-signal concept for improved identification-experiment design
9. Design variables for bias distribution in transfer function estimation