This work aims to propose a more robust and realistic dynamic optimization (DO) approach
to maximize the profit of distilled water production in a multi-effect desalination (MED) plant …

This study addresses the challenge and related difficulties of controlling solar collector fields
(SCFs) using high-complex models by proposing an adaptive optimal model-free controller …

The work is devoted to the modernization of closed onboard helicopters turboshaft engines
automatic control system through the use of a selectable block of neural network controllers …

This work presents a hierarchical framework to control a solar thermal facility aiming to
provide the required operating conditions for an absorption chiller machine. The CIESOL …

Solar furnaces rely on renewable energy for thermal tests using concentrated solar direct
irradiance. To address the complex dynamics and constraints of these systems, a novel …

This work proposes a Linear Quadratic Regulator with Feedforward action (LQR-FF) aiming
to improve the performance of optimal controllers applied to control thermal Solar Collector …

This work presents a resilient distributed model predictive control (MPC) method for linear
parameter varying (LPV) systems with state delays and attacks in communication networks …

This work introduces a Fractional Order PID (FOPID) controller associated with a nonlinear
Filtered Smith Predictor (FSP) to control a Solar Collector Field (SCF) system. The combined …

An iterative tuning method is presented to obtain the multi-input multi-output (MIMO)
feedforward controller coefficients to improve disturbance rejection in non-minimum phase …

Even with the progress done in the field of Cloud and High Performance Computing in
hardware and programming structures, state of the art schedulers of these systems are still …