%0 Conference Paper
%A Baloch, M.A.
%A Ismail, I.
%A Hanif, N.H.H.B.M.
%A Baloch, T.M.
%D 2010
%F scholars:913
%K Adaptive network based fuzzy inference system; Adaptive networks; Advanced process control; ANFIS; ANFIS model; Best fit; Binary distillation columns; Developed model; Experimental data; Fuzzy inference systems; Hybrid computational; Identification model; Ill-conditioned systems; Input-output; Intelligent techniques; Malaysia; Measured data; MISO; Modeling systems; Multi input single outputs; Non-linear; PETRONAS; System Identifiation Advance Process Control; System identification models, Distillation; Distillation columns; Fuzzy inference; Fuzzy systems; Identification (control systems); Intelligent control; Linear systems; Pilot plants, Process control
%R 10.1109/ICIAS.2010.5716224
%T ANFIS identification model of an advanced process control (APC) pilot plant
%U https://khub.utp.edu.my/scholars/913/
%X Fuzzy Inference System structured in form of adaptive networks is an intelligent technique being used for modeling not only linear systems but also for ill-conditioned systems. Adaptive Network Based Fuzzy Inference System (ANFIS) uses a hybrid computational algorithm for modeling systems. This paper discusses the system identification model developed for an Advanced Process Control (APC) pilot plant (continuous binary distillation column) located in APC laboratory of Universiti Teknologi PETRONAS, Malaysia, using ANFIS technique. Estimation and validation of the models was performed using the experimental data collected from the pilot plant. The developed model has been validated using the best fit criteria against the measured data of the pilot plant. The result shows that the Multi Input Single Output (MISO) ANFIS model developed is capable of modeling the non-linear APC plant by means of the input-output pairs obtained from the plant experiment.
%Z cited By 2; Conference of 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:84196