A study of runaway incidents involving thermal chemical reactions in the UK over the past 25
years (1988–2013) has been carried out. The objective of this study is to determine possible …

An IP-self-tuning controller tuned by a fuzzy adjustor, is proposed to improve induction
machine speed control. The interest of such controller is the possibility to adjust only one …

In this paper, a novel formulation for nonlinear model predictive control (MPC) has been
proposed incorporating the extended Kalman filter (EKF) control concept using a purely data …

This paper proposes an adaptive dual control with outlier detection that is robust to the
occurrence of outliers in uncertain systems. Outliers occasionally exist in system process …

Micro-hydro power plants (MHPP) are usually built on mountains to provide electricity for
rural communities. However, most of them are isolated from the national grid; thus, they …

Nonlinear state estimation with delayed measurements has been considered in many
industrial applications. However, classical methods cannot use these slow rates, irregular …

A mathematical model can be used to mimic a real chemical, physical, or biological system.
However, the process of idealizing the complicated real world into a relatively simple form …

For many decades, state estimation (SE) has been a critical technology for energy
management systems utilized by power system operators. Over time, it has become a …

Reaction calorimetry is a very useful tool to monitor exothermic polymerization reactions as it
is based on the estimation of the heat generated by the reaction. The objective of this work is …

An adaptive iterative learning control based on unfalsified strategy is proposed to solve high
precision temperature tracking of the Chylla-Haase reactor, in which iterative learning is the …