Despite great successes, model predictive control (MPC) relies on an accurate dynamical
model and requires high onboard computational power, impeding its wider adoption in …

Model predictive control (MPC) is a popular optimal control approach that can explicitly deal
with system constraints. However, its high computational cost motivates researches on …

Optimal control schemes have achieved remarkable performance in numerous engineering
applications. However, they typically require high computational cost, which has limited their …

Model-based optimal control strategies typically rely on accurate parametric representations
of the underlying systems, which can be challenging to obtain, especially for nonlinear and …