I. Introduction
In the previous few decades, the controller design for complex nonlinear systems has attracted a great attention [1]–[3]. In most cases, practical nonlinear system models are subject to various uncertainties or external disturbances [4]. Nonlinear systems make it difficult for traditional control techniques, such as PID control [5] and feedback control [6], to meet the high-precision requirements of industrial applications [7]. With the development of modern control theory, a lot of excellent results have been reported to realize the uncertain nonlinear systems stabilization, such as fuzzy control [8], optimal control [9], adaptive control [10], learning-based methods [11] and sliding mode control (SMC) [12].