Observers are computational algorithms designed to estimate unmeasured state variables
due to the lack of appropriate estimating devices or to replace high-priced sensors in a plant …

Abstract The versatility of Artificial Intelligence (AI) in process systems is not restricted to
modelling and control only, but also as estimators to estimate the unmeasured parameters …

Polymerization process can be classified as a nonlinear type process since it exhibits a
dynamic behaviour throughout the process. Therefore, it is highly complicated to obtain an …

Advanced control systems are becoming more and more sophisticated every day. For safety-
critical systems such as chemical processes, nuclear reactors, aircraft and spacecraft, the …

Gas infrastructure development will be accelerated as part of the National Strategic Project
since gas will be utilized as an intermediary energy source during the energy transition …

In this work, we proposed a novel hybrid fuzzy-sliding mode observer designed in such a
manner that it can be utilized to estimate various parameters by simply using the related …

It is proposed in this paper a study on the influence of the Levenberg-Marquardt optimization
approach for computation of the control actions in Nonlinear Model Predictive Controller. To …

It is hard to find parameters of proportional, integral and derivative in conventional PID
arithmetic and it depends on the accurate mathematical model of the plant. Its adaptability is …

This paper describes the development of nonlinear state-space predictive controller based
on distributed fuzzy-neural model. The presented approach assumes a state-space …

This paper describes a novel idea for designing a fuzzy-neural network for modeling of
nonlinear system dynamics. The presented approach assumes a state-space representation …