1) Bilinear industrial processes
双线性工业过程
2) bilinear dynamic industrial processes
双线性动态工业过程
3) nonlinear industrial processes
非线性工业过程
4) nonlinear large-scale industrial processes
非线性大工业过程
1.
In allusion to dynamic nonlinear large-scale industrial processes, to bring up gained the method of decentralized identification for the strong consistency estimates of the divisible steady-state models, it is used that property of polynomial can infinitely approach to the nonlinear function.
针对动态非线性大工业过程, 提出了得到其可分稳态模型强一致性估计的分散辨识方法;利用多项式对非线性函数的无限逼近的性质和优化过程中设定点的阶跃信号作输入激励信号,获得了动态非线性大工业过程的可分稳态模型和可辨识的条件。
2.
In this paper, the iterative learning control is studied for dynamics in steady-state hierarchical optimization of nonlinear large-scale industrial processes.
对递阶稳态优化下非线性大工业过程施行迭代学习控制 ,目的是进一步改善大工业过程的动态品质 。
5) industrial process
工业过程
1.
A study of intelligent control strategies for industrial processes;
工业过程智能控制策略的研究
2.
PLC-based remote monitoring and control systems with high reliability for industrial process;
基于PLC高可靠性工业过程远程监控系统
3.
Research on the Industrial Process Control System based on the Ethernet;
基于Ethernet的工业过程控制系统研究
补充资料：线性-正则随机过程
线性-正则随机过程
linearly-regular rancbm process
线性一正则随机过程〔玩峨川y一傀肉r.以bmP戏丈已刃;几皿e如。pe叮朋即碱c月y，曲”城即叫ecc] 满足正则性条件 门H;(一的，t)=o的广义平稳随机过程(stational了stochasticP丈。沈韶)古(t)(一的
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条