A Fractional Momentum Enhanced Fractional Filter for the Memristor-Based Volume Controller

This brief proposes a memristor-based volume controller, thus providing a practical application scenario of system identification. In order to identify the parameter in this system, we propose a fractional momentum enhanced fractional least mean square (FM-EFLMS) algorithm by combining the enhanced fractional derivative and the fractional momentum term. We analyze the stability condition of the FM-EFLMS algorithm. The resource consumption of the FM-EFLMS algorithm is also analyzed. Simulation experiments demonstrate the potential advantage of the memristor-based volume controller. Moreover, the experimental results show that the convergence performance of the FM-EFLMS algorithm exhibits obvious advantages compared to the competing filter algorithms.