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 …

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 …

Performing rigorous technical and commercial assessment of wave energy converters
(WECs) numerically, before engaging in expensive wave tank and open ocean tests, is vital …

Abstract Wave Energy Converters (WECs) have to be controlled to ensure maximum energy
extraction from waves while considering, at the same time, physical constraints on the …

Energy maximizing controllers (EMCs), for wave energy converters (WECs), based on linear
models, are attractive in terms of simplicity and computation. However, such (Cummins …

At present, the mainstream solution for the control of wave energy converters (WECs), the
model predictive control (MPC)-like method, faces a gap between simulation-based …

Ocean waves provide a promising and abundant renewable energy resource. One reason
wave energy technology is still not mature enough for commercialization is the high unit cost …

Spectral and Pseudospectral methods have been widely considered in diverse optimal
control applications, usually where energy optimisation is required. Although such methods …

In this study, a model predictive control (MPC) strategy is developed for a wave energy
converter (WEC) to investigate how the controller settings affect the design of the power take …