Practical Finite-Time Adaptive Control of Fractional-Order Systems With Asymmetric Hysteresis

A practical finite-time neural pseudo inverse control (PFTNPIC) strategy is proposed to address the finite-time tracking control of fractional-order systems subject to asymmetric hysteresis and time-delay. To compensate for the asymmetric hysteresis effect, a novel pseudo inverse algorithm is developed based on the asymmetric shifted Prandtl–Ishlinskii model, thereby avoiding the need to construct an explicit hysteresis inverse model. Furthermore, a framework that integrates a radial basis funct