论文信息 - Optimal closed-loop identification test design for internal model control

Optimal closed-loop identification test design for internal model control

In this work, optimal closed-loop test design for control is studied. Simple design formulas are derived based on the asymptotic theory of Ljung. The control scheme used is internal model control (IMC) and the design constraint is the power of the process output or that of the reference signal. The test signal is applied at the setpoint. The results give clear guidelines for closed-loop identification applications.

Yucai Zhu | P. P. J. van den Bosch

[1] L. Ljung. Asymptotic variance expressions for identified black-box transfer function models , 1984, The 23rd IEEE Conference on Decision and Control.

[2] Yucai Zhu. Multivariable process identification for mpc: the asymptotic method and its applications , 1998 .

[3] Lennart Ljung,et al. Some results on optimal experiment design , 2000, Autom..

[4] Paul M.J. Van den Hof,et al. Closed-Loop Issues in System Identification , 1997 .

[5] Manfred Morari,et al. Model predictive control: Theory and practice - A survey , 1989, Autom..

[6] Raman K. Mehra,et al. Optimal input signals for parameter estimation in dynamic systems--Survey and new results , 1974 .

[7] Håkan Hjalmarsson,et al. For model-based control design, closed-loop identification gives better performance , 1996, Autom..

[8] Yucai Zhu,et al. Multivariable and Closed-Loop Identification for Model Predictive Control , .

[9] Y. Zhu,et al. Multivariable and closed-loop process identification for MPC commissioning and maintenance , 1999 .

[10] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .