As a result of good modeling capabilities, neural networks have been used extensively for a
number of chemical engineering applications such as sensor data analysis, fault detection …

Electrochemical reduction of CO 2 gas is a novel CO 2 utilization technique that has the
potential to mitigate the global climate crisis caused by anthropogenic CO 2 emissions, and …

Successful industrial applications and favorable comparisons with conventional alternatives
have motivated the development of a large number of schemes for neural-network-based …

This paper develops a multivariable self-tuning predictive control for improving set-point
tracking performance, disturbance rejection, and robustness of a temperature control system …

A hardware implementation of the Takagi-Sugeno-Kan (TSK)-type recurrent fuzzy network
(TRFN-H) for water bath temperature control is proposed in this paper. The TRFN-H is …

This paper presents an adaptive decoupling temperature control for an extrusion barrel in a
plastic injection molding process. After establishing a stochastic polynomial matrix model of …

Five different control strategies for controlling a complex nonlinear and time-varying
fermentation process are compared. The main objective of the paper is to determine …

This paper describes learning rules using simultaneous perturbation for a neurocontroller
that controls an unknown plant. When we apply a direct control scheme by a neural network …

Despite of a huge number of classic optimal control theory algorithms developed during the
sixties, seventies, and eighties, and a large number of very sophisticated optimal control …

This paper studies three different control strategies which can be used to control the cold
side temperature of a TECI-12706 Peltier device. After experimenting with ON-OFF control …