“…There are also many other algorithms for trajectory tracking, such as terminal sliding mode control (TSMC) [18], output feedback control [19] and the linear algebra approach [20]. In order to achieve good performance of control algorithms, combinations of different methods are often proposed, e.g., the backstepping and Lyapunov methods [21], backstepping and SMC (plus Lyapunov stability theory) [22,23], NN and SMC [24,25], NN and SMC plus backstepping [26,27]), backstepping and neural network plus low-frequency techniques [28], event-triggered tracking control with prescribed performance using radial basis function NN (RBFNN) [29], and strategy based on virtual control points and RBFNN [30]. A control scheme which is a combination of an extended state observer (ESO) and a super-twisting second-order sliding mode controller was proposed in [31].…”