Title :
Optimal Sensor Network Design for Observability of Complex Systems
Author :
Chamseddine, Abbas ; Noura, Hassan ; Raharijaona, Thibaut
Author_Institution :
Domaine Univ. de St Jerome, Marseille
Abstract :
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.
Keywords :
control system synthesis; distributed sensors; interconnected systems; nonlinear control systems; observability; observers; optimal systems; reduced order systems; interconnected subsystem; large-scale observer; nonlinear large-scale complex system observability; optimal sensor network design; plant instrumentation; reduced order observer; Chemical sensors; Control systems; Costs; Fault detection; Instruments; Large-scale systems; Observability; Redundancy; Sensor systems; State estimation;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282689