DocumentCode :
2438612
Title :
Extended blending techniques with applications in robust tracking control and fault-tolerant control
Author :
Xu, Jun ; Xie, Lihua ; Lum, Kai Yew
Author_Institution :
Temasek Labs., Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
911
Lastpage :
916
Abstract :
In this paper, we extend the blending technique introduced in [2] to a general case. Different from, where all the columns of the distribution matrices of the exogenous inputs should be linearly independent of each other, we only require that part of the columns are linearly independent, and the other matrices have full column ranks. Based on this blending technique, we present a novel approach to the robust fault-tolerant control scheme and robust tracking problem. The novelty lies in the fact that we can separately design the controller gains for different performance indices, while simultaneously achieving all the indices via an elegant construction of an overall controller. The design procedure is based on LMI techniques and basic linear algebra tools.
Keywords :
control system synthesis; fault tolerance; matrix algebra; robust control; tracking; LMI techniques; blending technique; controller design; distribution matrices; exogenous inputs; extended blending; robust fault-tolerant control; robust tracking control; robust tracking problem; Additives; Erbium; Fault tolerance; Fault tolerant systems; Robustness; Transfer functions; Transient analysis; Blending technique; LMI; Multiple objective design; Robust tracking; fault-tolerant control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
Type :
conf
DOI :
10.1109/ICARCV.2010.5707876
Filename :
5707876
Link To Document :
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