2002Control theory & applicationsRequires access

An Improvement of Correlation Analysis in System Identification

Zhao Zhengmin

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Abstract

Correlation analysis, using pseudo_random binary sequence as input, is an effective method to identify the impulse response of control. An improvement of this method, i.e., increasing the length of M sequence after fixing the number of discrete values of impulse response to improve the precision, is presented. Simulation results demonstrate the validity of this means.

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What this paper is about

Correlation analysis, using pseudo_random binary sequence as input, is an effective method to identify the impulse response of control. An improvement of this method, i.e., increasing the length of M sequence after fixing the number of discrete values of impulse response to improve the precision, is presented. Simulation results demonstrate the validity of this means.

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Available abstract

Correlation analysis, using pseudo_random binary sequence as input, is an effective method to identify the impulse response of control. An improvement of this method, i.e., increasing the length of M sequence after fixing the number of discrete values of impulse response to improve the precision, is presented. Simulation results demonstrate the validity of this means.

Key concepts: Pseudorandom binary sequence, Impulse (physics), Correlation, Impulse response, Binary number, Control theory (sociology), Mathematics, Sequence (biology)

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