Regular Papers

International Journal of Control, Automation and Systems 2020; 18(12): 3167-3177

Published online June 24, 2020

https://doi.org/10.1007/s12555-019-0940-5

© The International Journal of Control, Automation, and Systems

Separable Recursive Gradient Algorithm for Dynamical Systems Based on the Impulse Response Signals

Ling Xu*, Feng Ding*, and Erfu Yang

Jiangnan University

Abstract

The identification for process control systems is considered in this paper based on the impulse response signals from the discrete measurements. By taking advantage of impulse signals and through the model parameter decomposition, two dependent identification models are constructed and two identification sub-algorithms are presented based on the nonlinear gradient optimization. In terms of the associated items of the parameters to be estimated between two derived sub-algorithms, a separable recursive gradient parameter estimation method is proposed by designing an interactive and recursive estimation. The performance tests and the comparison experiments are carried out by the simulation examples.

Download: http://link.springer.com/article/10.1007/s12555-019-0940-5

Keywords Gradient search, impulse signal, parameter estimation, recursive algorithm, system response.

Article

Regular Papers

International Journal of Control, Automation and Systems 2020; 18(12): 3167-3177

Published online December 1, 2020 https://doi.org/10.1007/s12555-019-0940-5

Copyright © The International Journal of Control, Automation, and Systems.

Separable Recursive Gradient Algorithm for Dynamical Systems Based on the Impulse Response Signals

Ling Xu*, Feng Ding*, and Erfu Yang

Jiangnan University

Abstract

The identification for process control systems is considered in this paper based on the impulse response signals from the discrete measurements. By taking advantage of impulse signals and through the model parameter decomposition, two dependent identification models are constructed and two identification sub-algorithms are presented based on the nonlinear gradient optimization. In terms of the associated items of the parameters to be estimated between two derived sub-algorithms, a separable recursive gradient parameter estimation method is proposed by designing an interactive and recursive estimation. The performance tests and the comparison experiments are carried out by the simulation examples.

Download: http://link.springer.com/article/10.1007/s12555-019-0940-5

Keywords: Gradient search, impulse signal, parameter estimation, recursive algorithm, system response.

IJCAS
February 2024

Vol. 22, No. 2, pp. 347~729

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