Identification of Delta Operator System Using Neural Network

被引：0

作者：

Ghosh S.K. ^{[1
]}

Sarkar P. ^{[2
]}

机构：

[1] Department of Applied Electronics & Instrumentation Engineering, University Institute of Technology, Burdwan University, Golapbug (N), Burdwan

[2] Ghani Khan Choudhury Institute of Engineering & Technology, Malda, West Bengal

来源：

Journal of The Institution of Engineers (India): Series B | 2015年 / 96卷 / 03期

关键词：

Delta operator; Neural network; System identification; System modelling;

D O I：

10.1007/s40031-014-0148-2

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes application of neural network in identification of dynamical system modelled with delta operator. The advantage of using delta operator such as greater numerical robustness in computation compared to shift operator is considered. Model for identification is implemented into realizable neural network structure using the inverse delta operator. Simulation example is presented to demonstrate that the proposed identification scheme works very well. © 2014, The Institution of Engineers (India).

引用

页码：245 / 250

页数：5

共 21 条

[1]

Narendra K.S., Parthasarathy K., Identification and control of dynamical systems using neural networks, IEEE Trans. Neural Netw, 1, pp. 4-27, (1990)

[2]

Hu C., Cao L., A System Identification Method Based on Multilayer Perceptron and Model Extraction, LNCS 3174, pp. 218-223, (2004)

[3]

Baruch I., Mariaca-Gaspar C.-R., Barrera-Cortes J., Castillo O., Direct and Indirect Neural Identification and Control of a Continuous Bioprocess Via Marquardt Learning Soft Computing for Intelligent Control and Mobile Robotics, SCI 318, pp. 81-102, (2010)

[4]

Middleton R.H., Goodwin G.C., Improved finite word length characteristics in digital control using delta operators, IEEE Trans. Autom. Control, 31, 11, pp. 1015-1021, (1986)

[5]

Middleton R.H., Goodwin G.C., Digital Control and Estimation: A Unified Approach, (1990)

[6]

Sarkar P., Reduced order modeling and controller design in delta domain, (2001)

[7]

Kadirkamanathan V., Anderson S.R., Maximum-likelihood estimation of delta-domain model parameters from noisy output signals, IEEE Trans. Signal Process, 56, pp. 3765-3770, (2008)

[8]

Anderson S.R., Kadirkamanathan V., Modelling and identification of non-linear deterministic systems in the delta-domain, Automatica, 43, pp. 1859-1868, (2007)

[9]

Yuz J.I., Goodwin G.C., On sampled-data models for nonlinear systems, IEEE Trans. Autom. Control, 50, pp. 1477-1489, (2005)

[10]

Ljung L., System Identification: Theory for the User, 2nd edn, (1999)

← 1 2 3 →