Abstract:This paper presents the development of a stabilizing model predictive control (IHMPC) based fault diagnosis system with observer of unknown input. The proposed system acts as an operational supervisor in order to monitor process, and actuator and sensor faults. The passive fault tolerance characteristics associated with IHMPC are analyzed for different types of faults in a styrene polymerization reactor. The results obtained by numerical simulation show that for all faults scenarios the fault tolerance based I… Show more
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