TY - GEN
T1 - Optimal robust fault detection for networked flight control systems with Markovian packet dropouts
AU - Qing, Wang
AU - Zhaolei, Wang
AU - Chaoyang, Dong
PY - 2013
Y1 - 2013
N2 - In this article, the fault detection problem for the networked flight control systems with packet dropout is investigated. The networked flight control systems with periodic packet dropouts are treated as a varying sampling rate system. Refer to the non-periodic packet dropout that could be described as a Markov process, the varying sampling rate networked control system could be farther modeled as a discrete-time Markov jump linear system. Based on this model, considering a more general situation that the transition probabilities are partially known, a fault detection filter is established whose robust performance index is optimal. Meanwhile the corresponding fault detection problem can be transformed to an LMI optimization problem, and sufficient conditions to solve this problem are simultaneity derived. Finally, a networked flight control system is considered to validate the effectiveness and potential of the proposed method.
AB - In this article, the fault detection problem for the networked flight control systems with packet dropout is investigated. The networked flight control systems with periodic packet dropouts are treated as a varying sampling rate system. Refer to the non-periodic packet dropout that could be described as a Markov process, the varying sampling rate networked control system could be farther modeled as a discrete-time Markov jump linear system. Based on this model, considering a more general situation that the transition probabilities are partially known, a fault detection filter is established whose robust performance index is optimal. Meanwhile the corresponding fault detection problem can be transformed to an LMI optimization problem, and sufficient conditions to solve this problem are simultaneity derived. Finally, a networked flight control system is considered to validate the effectiveness and potential of the proposed method.
KW - Fault detection
KW - Markovian jump systems
KW - Networked control systems
KW - partially known transition probabilities
UR - https://www.scopus.com/pages/publications/84882746972
U2 - 10.1109/CCDC.2013.6561829
DO - 10.1109/CCDC.2013.6561829
M3 - 会议稿件
AN - SCOPUS:84882746972
SN - 9781467355322
T3 - 2013 25th Chinese Control and Decision Conference, CCDC 2013
SP - 4941
EP - 4946
BT - 2013 25th Chinese Control and Decision Conference, CCDC 2013
T2 - 2013 25th Chinese Control and Decision Conference, CCDC 2013
Y2 - 25 May 2013 through 27 May 2013
ER -