Data from a radar and infrared imaging sensor have been widely used for implementation of complementary information and improvement of target tracking and recognition. 雷达与红外成像传感器所获取的信息能实现互补,可以改善对目标跟踪与识别的效果。
The iterative learning control, the variable structure sliding mode control and neural network control are combined in complementary manner. The asymptotic convergence of the tracking error to zero is established. 将迭代学习控制,变结构滑模控制,神经网络自适应控制以互补的方式相结合,使得跟踪误差渐近收敛于零。