针对激光雷达提出一种鲁棒测量模型。
A robust measurement model for laser range finder was proposed for these purposes.
根据几个模型相加可提高模型的预测精度及鲁棒性的思想，提出了一种非线性软测量建模的新方法。
Inspired by the idea of combining models to improve prediction accuracy and robustness, a new method for nonlinear soft sensing modeling of chemical processes is proposed.
用自适应过程减小参数不确定性的影响，并通过动态滑模控制器的高鲁棒性抑制机器人模型中的未知非线性动力学及测量噪声等的影响。
The adaptive process extenuates the influence of parameter uncertainty, and the robustness of the dynamic sliding mode control inhibits the influence of unknown dynamics and measurement noise.
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