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Parameter estimation for control systems based on impulse responses

  • Ling Xu
  • Feng Ding
Regular Papers Control Theory and Applications

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.

Keywords

Gradient method iterative method nonlinear optimization parameter estimation 

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Copyright information

© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.School of Internet of Things TechnologyWuxi Vocational Institute of CommerceWuxiP. R. China
  2. 2.School of Internet of Things EngineeringJiangnan UniversityWuxiP. R. China
  3. 3.School of Internet of Things EngineeringJiangnan UniversityWuxiP. R. China

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