Title :
A new closed-loop identification technique for step-response model based on subspace approach
Author :
Wu, Ping ; Yang, Chun-Jie
Author_Institution :
State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Abstract :
In this paper, a new identification technique for step-response model under closed-loop based on subspace approach is presented. It is well known that the lower block triangular Toeplitz matrix in subspace identification consists of impulse-response coefficients, these coefficients can be directly obtained from the collected data from experiments. The step-response model is constructed subsequently. It could be the key point for model-free predictive control. In order to estimate these coefficients in closed-loop circumstance, an orthogonal decomposition is introduced. For decreasing the variance and improving the performance of estimation, a parsimonious algorithm is used. Monte Carlo simulations are provided to illustrate the proposed method.
Keywords :
Monte Carlo methods; Toeplitz matrices; closed loop systems; identification; matrix decomposition; predictive control; step response; Monte Carlo simulations; closed loop identification technique; estimation performance improvement; impulse response coefficients; lower block triangular Toeplitz matrix; model-free predictive control; orthogonal decomposition; parsimonious algorithm; step-response model; subspace identification; Adaptation models; Data models; Estimation; Joints; Matrix decomposition; Predictive models; Process control;
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-61284-969-0
DOI :
10.1109/IECON.2011.6119351