… the control system [27]–[29] and to deal with periodic disturbances [31]. Therefore, in this
article, a RBFNN-based adaptive sliding mode control … of trajectory tracking for lower limb robot …

… adaptive sliding mode controller is … the trajectory tracking control of TWMR considering its
dynamics and kinematics characteristics together. Specifically, the trajectory tracking controller …

… To achieve robust finite-time trajectory tracking control, this paper … sliding mode (NFTSM)
control strategy for n-link robotic manipulators including actuator dynamics, subject to the model …

… In this section, we propose an adaptive trajectory tracking method that integrates a PID,
feedforward, and RBF neural network-based sliding mode control method to reduce the tracking …

… integral (PI) sliding mode variable are designed respectively … RBFNN-based adaptive
second-order sliding mode control (… improves attitude tracking performance. Furthermore, the …

… external disturbance and model error, the trajectory tracking of … , a sliding mode control
method combined fuzzy controller and … of robotic manipulator for handling an unknown payload. …

… robotic systems have mostly been based on state feedback control schemes such as sliding
mode control … The RBFNN-based control scheme is often used to identify the uncertain items …

… For more discussions on the contribution of RBFNN-based adaptive sliding mode control …
], the fuzzy-based linearization model with time delay is considered in the sliding mode control …

… To make the trajectory tracking superiority of our control … Zhu, ‘‘RBFNN-based adaptive
sliding mode control design for … control of robotic and mechatronic systems, such as nonlinear …

… been devoted to the study of nonsingular terminal slidingmode control (NTSMC) [9]. To … 1)
A novel RBFNN-based predefined-time NTSMC strategy is developed for trajectory tracking of …