Modelling the performance of single-input–single-output (SISO) processes using transfer function and fuzzy logic

A previously developed method for evaluating the performance of zero order single input single output (SISO) processes using transfer function modeling assumed constant lags and zero or negligible noise. This work models the performance of SISO systems with variable lags and noise using transfer fun...

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Bibliographic Details
Published in:Opsearch 2020-09, Vol.57 (3), p.815-836
Main Author: Nwobi-Okoye, Chidozie Chukwuemeka
Format: Article
Language:English
Subjects:
Application Article
Business and Management
Fuzzy logic
Fuzzy systems
Inference
Management
Mathematics
Modelling
Noise
Operations research
Operations Research/Decision Theory
Performance assessment
Performance evaluation
Queues
Queuing theory
System effectiveness
Transfer functions
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Summary:A previously developed method for evaluating the performance of zero order single input single output (SISO) processes using transfer function modeling assumed constant lags and zero or negligible noise. This work models the performance of SISO systems with variable lags and noise using transfer function modeling and fuzzy logic inference systems. Two single input single output processes exemplified by palm kernel crushing plants were used for the modeling. Plants 1 and 2 with the same system’s coefficient of performance (SCOP) of 0.4, which corresponds linguistic variable ‘Fair’, had the same performance. In comparison with queuing theory SCOP performed better as a performance assessment metric for the SISO processes. The results showed that fuzzy logic inference system could be effectively used to model zero order SISO systems with variable lags and noise. The results of the research could be extended to higher order SISO systems.
ISSN:0030-3887
0975-0320
DOI:10.1007/s12597-020-00452-x