摘要：This paper is concerned with the problem ofprescribed performance control (PPC) for a class of strictfeedback nonlinear systems, in which uncertain nonlinearityand uncertain disturbance exist in the considered nonlinearsystem at the same time, and the input control signal ofthe system is constrained by saturation nonlinearity. Theadaptive neural network is used to approximate all unknownnonlinearity of the closed-loop system. And a new class of errortransformation functions is proposed for the first time, which issuperior to other similar documents in that the output error canalways be constrained by the prescribed band only accordingto the properties of the designed error transformation functionwithout any additional conditions. The simulation results finallyverify the effectiveness of the proposed algorithm.
