linux command

本文介绍了Linux环境下几个常用命令的使用方法,包括如何使用nohup后台运行进程、cut命令提取文件特定列或字符、tar命令进行文件归档及恢复、cpiocommand命令复制文件到磁带或从磁带恢复文件等。此外还介绍了如何使用sar命令监控系统资源使用情况,以及crontab设置定时任务的方法。
Here's how you specify the nohup option for a process:
$ nohup test.ksh

$ test.ksh &
[1]    27149

================================
Outputting Columns with the cut Command

The cut command will output specified columns from a text file. Let's say you have a file named example.txt with the following text:

one two three
four five six
seven eight nine
ten eleven twelve

You can specify the fields you want to extract with the -f option. The following command will return just the second column in the example.txt file:

$ cut -f2 example.txt
two
five
eight
eleven

You use the -c option with the cut command to specify the specific characters you want to extract from a file. The following two commands extract the tenth character and then characters 10-12 from the password.txt file:

$ password.txt | cut -c10
$ password.txt | cut -c10-12

=====================================
$ test "ONE" = "one"
$ echo $?
0
========================================
The following tar command will copy the data01.dbf file to a tape, with the format /dev/rmt/0m. The -cvf option creates a new archive (the hyphen is optional). The c option asks tar to create a new archive file, and the v option stands for verbose, which specifies that the files be listed as they are being archived:
$ tar -cvf /dev/rmt/0m   /u10/oradata/data/data01.dbf

The following tar command will extract the backed-up files from the tape to the specified directory:

$ tar -xvf/dev/rmt/0m    /u20/oradata/data/data01.dbf

The x option asks tar to extract the contents of the specified file. The v and f options have the same meanings as in the previous example.

The cpio command with the -o (copy out) option copies files to standard output, such as disk or tape. The following command will copy the contents of the entire current directory (all the files) to the /dev/rmt/0m tape:

$ ls | cpio -0 > /dev/rmt/0m

The cpio command with the -i (copy in) option extracts files from standard input. The following command restores all the contents of the specified tape to the current directory:

$ cpio -i < /dev/rmt/0m

========================================
$ crontab -e

Each line in the crontab is an entry for a regularly scheduled job or program, and you edit the crontab the same way you edit any normal vi-based file. Each line in the /etc/crontab file represents a job that you want to execute, and it has the following format:

minute         hour     day    month     day of week       command
=======================================
$ sar -u 1 10
HP-UX prod5 B.11.11 U 9000/800   04/07/08

16:11:21    %usr      %sys      %wio   %idle
16:11:22      34         6        56       4
16:11:23      31         7        55       7
16:11:24      45         9        43       4
16:11:25      45         9        44       2
16:11:26      45        11        40       3
16:11:27      46        11        40       4
16:11:28      48        10        40       3
16:11:29      56        11        31       2
16:11:30      50        12        36       3
16:11:31      45        12        39       4

Average       44        10        42       4
$
=======================================================


基于数据驱动的 Koopman 算子的递归神经网络模型线性化,用于纳米定位系统的预测控制研究(Matlab代码实现)内容概要:本文围绕“基于数据驱动的Koopman算子的递归神经网络模型线性化”展开,旨在研究纳米定位系统的预测控制问题,并提供完整的Matlab代码实现。文章结合数据驱动方法与Koopman算子理论,利用递归神经网络(RNN)对非线性系统进行建模与线性化处理,从而提升纳米级定位系统的精度与动态响应性能。该方法通过提取系统隐含动态特征,构建近似线性模型,便于后续模型预测控制(MPC)的设计与优化,适用于高精度自动化控制场景。文中还展示了相关实验验证与仿真结果,证明了该方法的有效性和先进性。; 适合人群:具备一定控制理论基础和Matlab编程能力,从事精密控制、智能制造、自动化或相关领域研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①应用于纳米级精密定位系统(如原子力显微镜、半导体制造设备)中的高性能控制设计;②为非线性系统建模与线性化提供一种结合深度学习与现代控制理论的新思路;③帮助读者掌握Koopman算子、RNN建模与模型预测控制的综合应用。; 阅读建议:建议读者结合提供的Matlab代码逐段理解算法实现流程,重点关注数据预处理、RNN结构设计、Koopman观测矩阵构建及MPC控制器集成等关键环节,并可通过更换实际系统数据进行迁移验证,深化对方法泛化能力的理解。
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