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Identification of hysteresis of human meridian systems

In this paper, an identification method using nonlinear auto-regressive and moving average model with exogenous input is proposed to describe the dynamic hysteresis in human meridian. As the hysteresis is a nonlinear system with multi-valued mapping, the traditional identification method is unavailable to it directly. Thus, an expanded input space is constructed to transform the multi-valued mapping of the hysteresis to a one-to-one mapping. Then, the identification can be implemented on the constructed expanded input space. Finally, the proposed method is applied to hysteresis modeling for human meridian systems.