This paper proposed a new class of robust adaptive decentralized control strategies based on nonlinear sliding mode for trajectory tracking of robot manipulators with uncertainties.
提出了一类基于非线性滑动模的鲁棒自适应分散控制策略，用于不确定性机器人的轨迹跟踪。
An adaptive neural sliding mode control strategy with the self-tuning of robust item coefficients is proposed for the trajectory tracking of non-holonomic wheeled mobile robots.
针对非完整移动机器人的轨迹跟踪控制问题，提出了一种鲁棒项系数自调整的神经网络滑模自适应控制策略。
As an important branch in the field of intelligent control, fuzzy model based robust adaptive sliding-mode control for nonlinear systems has received more and more attention in recent years.
作为现代控制领域中的一个重要分支，基于模糊建模的非线性系统的鲁棒自适应变结构控制技术近年来受到了国内外控制界的广泛重视。
应用推荐