DocumentCode :
728088
Title :
Shifting finite time stability and boundedness design for continuous-time LPV systems
Author :
Rotondo, Damiano ; Nejjari, Fatiha ; Puig, Vicenc
Author_Institution :
Autom. Control Dept., Univ. Politec. de Catalunya (UPC), Terrassa, Spain
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
838
Lastpage :
843
Abstract :
In this paper, the problem of designing a parameter-scheduled state-feedback controller is investigated. In particular, the concepts of finite time stability (FTS) and finite time boundedness (FTB) are extended, introducing their shifting counterparts. By introducing new scheduling parameters, the controller can be designed in such a way that different values of these parameters imply different characteristics of the finite time stability/boundedness property. In this way, the performance of the control system can be varied during its operation. The problem is analyzed in the continuous-time LPV case, even though the developed theory could be also applied to LTI systems. The design conditions are feasibility problems involving linear matrix inequalities (LMIs) that can be solved efficiently using available solvers. Results obtained in simulation demonstrate the effectiveness and the relevant features of the proposed approach.
Keywords :
continuous time systems; control system synthesis; linear matrix inequalities; linear parameter varying systems; scheduling; stability; state feedback; FTB; FTS; LMIs; boundedness design; continuous-time LPV systems; finite time boundedness property; linear matrix inequalities; parameter-scheduled state-feedback controller design; scheduling parameters; shifting finite time stability; Asymptotic stability; Closed loop systems; Linear matrix inequalities; Linear systems; Numerical stability; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7170838
Filename :
7170838
Link To Document :
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