Hybrid semi-parametric models consist of model structures that combine parametric and
nonparametric submodels based on different knowledge sources. The development of a …

It is in the interest of operators of anaerobic digestion plants to maximise methane
production whilst concomitantly reducing the chemical oxygen demand of the digested …

Artificial neural networks (ANN) provide a range of powerful new techniques for solving
problems in sensor data analysis, fault detection, process identification, and control and …

This paper presents the synthesis and analysis of optimal tuning of proportional integral
derivative (PID) parameters for different process systems: first order plus time delay …

Artificial neural networks (ANNs) as a powerful technique for solving complicated problems
in membrane separation processes have been employed in a wide range of chemical …

In this paper, an improved cascade control methodology for superheated processes is
developed, in which the primary PID controller is implemented by neural networks trained by …

This paper proposes an adaptive switch controller (ASC) design for the nonlinear multi‐input
multi‐output system (MIMO). In fact, the proposed method is an online switch between the …

The control of manufacturing processes must satisfy high quality and efficiency requirements
while meeting safety requirements. A broad spectrum of monitoring and control strategies …

In this paper, control of the nonlinear dynamics of quadrotor with the help of FOPID
controllers was focused, moreover, this literature used neural networks method is used for …

The control of manufacturing processes must satisfy high-quality and efficiency requirements
while meeting safety requirements. A broad spectrum of monitoring and control strategies …