Premium
Set‐membership estimation‐based adaptive reconfiguration scheme for linear systems with disturbances
Author(s) -
Guo Yuying,
Zhang Youmin,
Jiang Bin
Publication year - 2016
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2598
Subject(s) - control reconfiguration , control theory (sociology) , adaptive control , actuator , controller (irrigation) , bounded function , computer science , state (computer science) , interval (graph theory) , set (abstract data type) , reference model , linear system , adaptive system , scheme (mathematics) , control engineering , control (management) , engineering , mathematics , artificial intelligence , algorithm , mathematical analysis , programming language , software engineering , combinatorics , agronomy , biology , embedded system
Summary This paper presents an adaptive reconfiguration control for linear systems with both unknown actuator failures and disturbances. The model uncertainties are included to present additive disturbances which are unknown but bounded. By using set‐membership estimation technique for such a problem, two interval observers are developed to estimate the system states subject to model uncertainties. Based on these state estimates, an adaptive state feedback reconfiguration controller is proposed to compensate actuator failures for achieving system states tracking to those of reference model under the framework of model reference adaptive control approach. The effectiveness of the proposed method is demonstrated through simulation results. Copyright © 2015 John Wiley & Sons, Ltd.