摘要
非线性网络化控制结构不是静态的,而是随着时间和短视频图像的变化而动态调整,形成一个不断演化的等维矩阵,通过自动调整其结构和参数来应对外部环境的变化。由于系统涉及多个层级、多个维度和多个云节点的交互,非线性特征提取与表示、鲁棒性强的识别算法、实时性优化以及网络化控制策略等关键技术可以为该领域的发展提供有力支持。
The nonlinear networked control structure is not static,but dynamically adjusts with the changes of time and short video images,forming a continuously evolving equal-dimensional,and automatically adjusts its structure and parameters to cope with the changes of the external environment.Since the system involves the interaction of multiple levels,multiple dimensions and multiple nodes,it can provide strong support for the development of this field through key technologies such as nonlinear feature extraction and representation,strong robustness recognition algorithm,real-time optimization networked control strategy.
作者
冉鸿雁
欧长林
王渝
RAN Hongyan;OU Changlin;WANG Yu(Sichuan Vocational College of Chemical Technology,Luzhou Sichuan 646300)
出处
《软件》
2025年第3期159-162,共4页
Software
关键词
非线性
网络化控制
短视频
nonlinearity
networked control
short video
