Model free adaptive control based freeway ramp metering with feedforward iterative learning controller

In this work, a novel model-free adaptive control based freeway ramp metering strategy with feedforward iterative learning is proposed. The modularized controller design with feedforward iterative learning controller added on to the feedback model free adaptive control (MFAC) controller makes use of the periodicity of the traffic flow effectively and improves the controller performance greatly. With rigorous analysis, the proposed control scheme guarantees the asymptotic convergences along the iteration axis. Intensive simulations show the effectiveness of the proposed strategy.