Real-time proximal gradient method for embedded linear MPC

This paper presents and experimentally validates an embedded linear model predictive control (MPC) approach that is particularly useful for implementation on resource-constrained embedded hardware. The MPC scheme is based on a real-time implementation of the proximal gradient method (PGM) and generates input signals with guaranteed constraint satisfaction. Given standard linear MPC assumptions, asymptotic stability of the resulting closed loop...