Model Predictive Control With Stability Guarantee for the Versatile Buck–Boost Converter

This article presents a continuous control-set model predictive control for the versatile buck–boost converter. Unlike reported approaches in the scientific literature, our control guarantees stability in the sense of Lyapunov for a one-step horizon. The proposed strategy also demonstrates optimality and recursive feasibility. An extensive experimental set proves this control is highly efficient and stable compared to existing methods. This work gives unprecedented insights into a new generation of model predictive controls where stability is intrinsically established in the design stage.