TY - GEN
T1 - Optimal sensor network design for observability of complex systems
AU - Chamseddine, Abbas
AU - Noura, Hassan
AU - Raharijaona, Thibaut
PY - 2007
Y1 - 2007
N2 - Plants instrumentation is a crucial issue due to the importance of sensors in allowing the observability and in increasing the redundancy and the reliability. However, the task of designing a sensor network becomes complicated when the complexity of the system increases. In this paper, a strategy is proposed to design a minimal sensor network ensuring the observability of complex systems. The strategy is based on the decomposition of complex systems into subsystems. This decomposition helps in treating each subsystem separately and in allowing the use of reduced order observers rather than a large scale observer for the whole system. An example is given to illustrate the proposed strategy.
AB - Plants instrumentation is a crucial issue due to the importance of sensors in allowing the observability and in increasing the redundancy and the reliability. However, the task of designing a sensor network becomes complicated when the complexity of the system increases. In this paper, a strategy is proposed to design a minimal sensor network ensuring the observability of complex systems. The strategy is based on the decomposition of complex systems into subsystems. This decomposition helps in treating each subsystem separately and in allowing the use of reduced order observers rather than a large scale observer for the whole system. An example is given to illustrate the proposed strategy.
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U2 - 10.1109/ACC.2007.4282689
DO - 10.1109/ACC.2007.4282689
M3 - Conference contribution
AN - SCOPUS:46449100167
SN - 1424409888
SN - 9781424409884
T3 - Proceedings of the American Control Conference
SP - 1705
EP - 1710
BT - Proceedings of the 2007 American Control Conference, ACC
T2 - 2007 American Control Conference, ACC
Y2 - 9 July 2007 through 13 July 2007
ER -