The complex modeling accuracy of gas hydrate models has been recently improved owing
to the existence of data for machine learning tools. In this review, we discuss most of the …

Abstract System modeling is required to develop, analyze and predict the performance of
solar facilities. Indirect solar dryers are typical systems as they are nonlinear and operate …

Automatic programming (AP) is one of the most attractive branches of artificial intelligence
because it provides effective solutions to problems with limited knowledge in many different …

This paper focuses on the robust H∞ fault-tolerant control issue for a family of polynomial
fuzzy systems subject to actuator faults and external disturbances. Especially, asynchronous …

The aim of this study is to investigate nonlinear DC motor behavior and to control velocity as
output variable. The linear model is designed, but as it is experimentally verified that it does …

Perovskites have gained significant attention in recent years due to their unique and
versatile material properties. The lattice parameters of the perovskite compounds play a …

In this investigation a novel type-2 fuzzy model for electrophysiological signals is presented.
It is based on interval type-2 fuzzy systems. This method can deal with the curve fitting and …

Metaheuristics are well known approaches to solve efficiently hard optimization problems.
Furthermore, the automatic generation of computer programs using metaheuristics as …

Even though, it is mostly used by process control engineers, the temperature control remains
an important task for researchers. This paper addressed two separate issues concerning …

In the present study, the metaheuristic approaches based on hybrid bee colony (BC) and
simulated annealing (SA) algorithms have been developed to improve the fuzzy model …