Title :
Robustness results of LQR-based systems with structured uncertainty
Author :
Ci Chen ; Holohan, Anthony
Author_Institution :
Dept. of Electron. Eng., Dublin City Univ., Dublin, Ireland
Abstract :
It is well known that linear quadratic regulator can have excellent stability robustness. However, some authors have recommended caution, by producing examples where the linear quadratic regulator may suffer from poor robustness. Specifically, small changes in the parameters of the system can cause fast unstable closed-loop poles. However, by comparing the bounds on allowable perturbations it is shown that the stability robustness properties are preserved in a general sense. The high parameter sensitivity gives a warning to those designers who favour high gain controllers.
Keywords :
closed loop systems; linear quadratic control; robust control; LQR-based systems; closed-loop poles; high gain controllers; linear quadratic regulator; parameter sensitivity; stability robustness property; structured uncertainty; LQR; Sensitivity; Stability;
Conference_Titel :
Irish Signals & Systems Conference 2014 and 2014 China-Ireland International Conference on Information and Communications Technologies (ISSC 2014/CIICT 2014). 25th IET
Conference_Location :
Limerick
DOI :
10.1049/cp.2014.0661