A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Fault tolerant fuzzy IMC control in a PH process
2003
2003 European Control Conference (ECC)
unpublished
This paper proposes a new fault tolerant control methodology using Fuzzy Internal Model Control (IMC) for nonlinear systems. The models (direct and inverse plant models) used in the IMC controller are generated by an adaptive neural network called ANFIS, which implements a fuzzy inference system of Takagi-Sugeno type. The inverse model of the IMC controller is reconfigured by exploiting information estimated from a fault diagnosis unit and a qualitative model of the system, in terms of a fuzzy
doi:10.23919/ecc.2003.7085031
fatcat:vb27p4ttj5fh5dsuixipgr4vzi