论文信息 - Benefits of Feedback in Experiment Design

Benefits of Feedback in Experiment Design

Abstract We investigate the design of identification experiments using some recent asymptotic expressions for the variance of the estimated transfer function. In particular we highlight a number of applications for which it is beneficial to let the experiment be carried out in closed loop.

Lennart Ljung | Michel Gevers

[1] Lennart Ljung,et al. Choice and Effect of Different Feedback Configurations , 1981 .

[2] L. Ljung,et al. Black-box identification of multivariable transfer functions—asymptotic properties and optimal input design , 1984 .

[3] Lennart Ljung,et al. Design Variables for Bias Distribution in Transfer Function Estimation. Version II , 1984 .

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

[5] Tung-Sang Ng,et al. Optimal experiment design for linear systems with input-output constraints , 1977, Autom..

[6] Unprejudiced Optimal Input Design for Identification of Transfer Functions , 1983 .

[7] L. Ljung. Convergence analysis of parametric identification methods , 1978 .

[8] Lennart Ljung,et al. Unprejudiced optimal open loop input design for identification of transfer functions , 1985, Autom..