Data-driven control without using mathematical models is a promising research direction for urban traffic due to the massive amounts of data generated every day. This article proposes novel distributed model-free adaptive predictive (D-MFAPC) approach multiregion networks. More specifically, dynamics network regions are first transformed into MFAPC models, and then, derived instead serve as pre...

A model predictive current control (MPCC) with adaptive-adjusting method of timescales for permanent magnet synchronous motors (PMSMs) is proposed in this paper to improve the dynamic response and prediction accuracy transient-state, while lessening computational burden improving performance steady-state. The timescale characteristics different parts MPCC, such as signal sampling, calculation, ...