INTELLIGENT QUANTUM SLIDING MODE CONTROL

In this paper, a new quantum neural sliding mode control (SMC) with boundary layer is presented for uncertain nonlinear systems via time-variant sliding function in the presence of external disturbances. The adjustable boundary layer width and break-frequency bandwidth are tuned to attenuate the effects of the system uncertainties and the un-modeled frequencies efficiently. Also, a combination of quantum neural network and sliding mode approach is presented as an intelligent quantum control method for controlling an uncertain system. The proposed method is presented as an optimal tracking control with a control amplitude much less than the other methods. At the end, an example is presented to illustrate the performance and the advantage of the proposed method