This paper first analyzes the asymptotic stability of PD control with parallel neural networks and the first-order sliding mode compensation. Then a serial ...
This paper first analyzes the asymptotic stability of PD control with parallel neural networks and the first-order sliding mode compensation, then a serial ...
Dec 28, 2023 · The NNs were used to compensate for the model uncertainties, and the proposed method was shown to improve the control performance and reduce ...
Missing: PD | Show results with:PD
Both neural network and sliding mode technique can compensate the steady-state error of proportional-derivative (PD) control. The tracking error of PD ...
Dec 3, 2020 · In this work, a robust adaptive control design to compensate a nominal controller for robot manipulator with uncertainties and external ...
Apr 27, 2023 · To accurately compensate for the dynamics model in sliding mode control (SMC), a new parallel network (PCR) is proposed in this paper. The ...
Missing: PD | Show results with:PD
Oct 10, 2018 · This article presents an adaptive sliding mode control method for nonlinear systems. A parallel robot control model with adaptive fuzzy sliding ...
Dec 3, 2020 · In Xu et al. (2018), a fuzzy NN sliding mode control is designed to improve controller performance against system uncertainty and external ...
Dec 3, 2020 · This study presents a real-time implementation of the angle trajectory tracking control for the twoDOF industrial robotic manipulators. For real ...
Parallel robots compensate for the shortcomings of serial robots, thus expanding the appli- ... On PD control of parallel robots with redundant actuation. In: ...