|Parameter Estimation for Control Systems based on Impulse Responses
Ling Xu and Feng Ding*
International Journal of Control, Automation, and Systems, vol. 15, no. 6, pp.2471-2479, 2017
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."
Gradient method, iterative method, nonlinear optimization, parameter estimation.
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