Parameter estimation for control systems based on impulse responses

The impulse signal is an instant change signal in very short time. It is widely used in signal processing, electronic technique, communication and system identification. This paper considers the parameter estimation problems for dynamical systems by means of the impulse response measurement data. Si...

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Bibliographic Details
Published in:International journal of control, automation, and systems Vol. 15; no. 6; pp. 2471 - 2479
Main Authors: Xu, Ling, Ding, Feng
Format: Journal Article
Language:English
Published: Bucheon / Seoul Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.12.2017
제어·로봇·시스템학회
Subjects:
Control
Engineering
Mechatronics
Regular Papers
Robotics
제어계측공학
parameter estimation
iterative method
Gradient method
nonlinear optimization
ISSN:1598-6446, 2005-4092
Online Access:Get full text
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Summary:The impulse signal is an instant change signal in very short time. It is widely used in signal processing, electronic technique, communication and system identification. This paper considers the parameter estimation problems for dynamical systems by means of the impulse response measurement data. Since the cost function is highly nonlinear, the nonlinear optimization methods are adopted to derive the parameter estimation algorithms to enhance the estimation accuracy. By using the iterative scheme, the Newton iterative algorithm and the gradient iterative algorithm are proposed for estimating the parameters of dynamical systems. Also, a damping factor is introduced to improve the algorithm stability. Finally, using simulation examples, this paper analyzes and compares the merit and weakness of the proposed algorithms.
Bibliography:http://link.springer.com/article/10.1007/s12555-016-0224-2
ISSN:1598-6446
2005-4092
DOI:10.1007/s12555-016-0224-2