An overview of the recent developments of time-series neural network modeling is
presented along with its use in model predictive control (MPC). A tutorial on the construction …

This review is on the various techniques and methodologies applied to sensor based
monitoring of the quality and control of defects in an advanced joining process named …

The integration of energy storage technologies with renewable energy systems can
significantly reduce the operating costs for microgrids (MG) in future electricity networks. This …

This paper proposes coordinated control of blade pitch angle of wind turbine generators and
plug-in hybrid electric vehicles (PHEVs) for load frequency control of microgrid using model …

This paper introduces a survey on the adaptive and intelligent methods that have been
applied to microgrids systems. Interestingly, the adaptive technique is effectively exercised …

This research introduces a new technique to control constrained nonlinear systems, named
Lyapunov-based neural network model predictive control using a metaheuristic optimization …

This paper presents the results from two real-world trials of an optimised supervisory model
predictive control (MPC) system for heating, ventilation and air conditioning (HVAC) in …

This paper proposes plug-in hybrid electric vehicles bidirectional charging/discharging and
state of charge (SoC) control for a microgrid frequency stabilization using a multiple model …

The electrochemical reaction-based process, a new type of chemical process that can
generate valuable products using renewable electricity, is a sustainable alternative to the …

This paper discusses recent developments in the data-based modeling and control of
nonlinear chemical process systems using sparse identification of nonlinear dynamics …