The prediction model is the most important part of an MPC strategy. The accuracy of such a
model influences the quality of predictions and control performance of the algorithm. In some …

Controlling solar furnace systems presents significant challenges due to their nonlinear
dynamics and uncertainties in model parameters. Therefore, this paper provides a …

This work proposes a nonlinear model predictive control-based guidance strategy for
unmanned surface vehicles, focused on path following. The application of this strategy, in …

In this paper, a practical nonlinear model predictive control with iterative nonlinear prediction
and linearization is proposed, considering a long short-term memory (LSTM) artificial neural …

Energy efficiency and energy saving are important concepts bearing in mind by
governments and population during the last years. There exist a widespread concern about …

The aim to maintain thermal comfort conditions in confined environments may require
complex regulation procedures and the proper management of an HVAC (heating …

Nonlinear model predictive control (NMPC) of industrial processes is changeling in part
because the model of the plant may not be completely known but also for being …

In this paper, a novel Runge–Kutta (RK) discretization-based model-predictive auto-tuning
proportional-integral-derivative controller (RK-PID) is introduced for the control of continuous …

Abstract Solar Membrane Distillation (SMD) is an under-investigation desalination process
suitable for developing self-sufficient small scale applications. The use of solar energy …

A modulating heat pump and water tank result in a nonlinear model due to the load
dependency of the heat pump performance, and variable water flows. Nonlinear model …