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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| Vydáno v: | International journal of control, automation, and systems Ročník 15; číslo 6; s. 2471 - 2479 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Bucheon / Seoul
Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers
01.12.2017
제어·로봇·시스템학회 |
| Témata: | |
| ISSN: | 1598-6446, 2005-4092 |
| On-line přístup: | Získat plný text |
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| Abstract | 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. |
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| AbstractList | 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 estimationproblems for dynamical systems by means of the impulse response measurement data. Since the cost function ishighly nonlinear, the nonlinear optimization methods are adopted to derive the parameter estimation algorithms toenhance the estimation accuracy. By using the iterative scheme, the Newton iterative algorithm and the gradientiterative algorithm are proposed for estimating the parameters of dynamical systems. Also, a damping factor isintroduced to improve the algorithm stability. Finally, using simulation examples, this paper analyzes and comparesthe merit and weakness of the proposed algorithms. KCI Citation Count: 97 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. |
| Author | Ding, Feng Xu, Ling |
| Author_xml | – sequence: 1 givenname: Ling surname: Xu fullname: Xu, Ling organization: School of Internet of Things Technology, Wuxi Vocational Institute of Commerce, School of Internet of Things Engineering, Jiangnan University – sequence: 2 givenname: Feng surname: Ding fullname: Ding, Feng email: fding@jiangnan.edu.cn organization: School of Internet of Things Engineering, Jiangnan University |
| BackLink | https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002289959$$DAccess content in National Research Foundation of Korea (NRF) |
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| Copyright | Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany 2017 |
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| Keywords | parameter estimation iterative method Gradient method nonlinear optimization |
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| Title | Parameter estimation for control systems based on impulse responses |
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