Abstract Model predictive control (MPC) has achieved considerable success in the process
industries, with its ability to deal with linear and nonlinear models, while observing system …

With an increasing focus on climate action and energy security, an appropriate mix of
renewable energy technologies is imperative. Despite having considerable global potential …

This review focuses on the most suitable form of hydrodynamic modeling for the next
generation wave energy converter (WEC) design tools. To design and optimize a WEC, it is …

Wave energy has a significant part to play in providing a carbon-free solution to the world's
increasing appetite for energy. In many countries, there is sufficient wave energy to cater for …

Wave energy conversion systems have a massive potential in securing a reliable renewable
energy mix. In their development, a crucial role is that of optimal control (OC) algorithms …

Following the sharp increase in the price of traditional fossil fuels, in combination with issues
of security of supply, and pressure to honor greenhouse gas emission limits, much attention …

Wave energy converters (WECs) capable of extracting power in multiple degrees of freedom
require a special attention from control engineers as the control problem becomes …

In the design of ocean wave energy converters, proper control design is essential to the
maximization of the power generation performance for the device. However, in realistic …

Model Predictive Control (MPC) has been recognized as a well-developed control strategy
for optimizing the performance of wave energy converters (WECs). The standard problem …

This work focuses on an array of point absorbers, with linear permanent magnet generators
(LPMG) connected to the grid via back-to-back voltage source converters, controlled using …