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qingchuwudi:
有用,非常感谢!
erlang进程的优先级 -
zfjdiamond:
你好 这条命令 在那里输入??
你们有yum 我有LuaRocks -
simsunny22:
这个是在linux下运行的吧,在window下怎么运行escr ...
escript的高级特性 -
mozhenghua:
http://www.erlang.org/doc/apps/ ...
mnesia 分布协调的几个细节 -
fxltsbl:
A new record of 108000 HTTP req ...
Haproxy 1.4-dev2: barrier of 100k HTTP req/s crossed
原文Url: http://www.clickcaster.com/items/why-do-you-like-erlang
感觉写的非常好(激动中) 和我的经历几乎一样 得出的结论就是: erlang就是我要的 网络应用erlang足够强大了
After having turned into something of an Erlang zealot about two months ago, I've been asked this question quite frequently. I think the best way to explain this is as a corollary to Greenspun's Tenth Rule:
Years later, I would try to implement a massively concurrent network server which used a thread-per-request model. By then I had built up quite a home-brewed server framework, with abstract interfaces to many OS facilities, and had written a network server with over 20,000 lines of code.
This is where I began to hit the wall with threads. I had cross-platform threading abstractions between Win32 and pthreads, and had been testing on a number of platforms, and started noticing that on certain platforms I was running into deadlocks, but not others. As the data structures grew increasingly advanced I started to notice more deadlocks. The locking became increasingly more sophisticated, more difficult to debug, and the performance began to decrease as important shared structures needed to be synchronized across all threads.
I began reading more on the overhead of mutexes, which for a performance-obsessed C programmer was quite maddening. Locking a mutex on Win32, for example, required over 600 CPU instructions! I soon came to the realization that the best approach was really one or two threads per CPU core, and that some lighter weight concurrency mechanism which avoids the synchronization problems of threads was the better approach to addressing high numbers of concurrent connections.
I first discovered Knuth's Coroutines as described in The Art of Computer Programming. These provide for lightweight cooperative scheduling without the need of a system call to switch between them. The GNU Pth library implemented something quite similar. I found several similar approaches to userspace threading, including the idea of "microthreads" as implemented by Win32's Fibers and *IX's ucontexts.
The end goal of all of these approaches was separating behavior from function. Each native thread (provided you have more than one) has its behavior isolated into an inner event loop, and the function can be implemented as a microthread.
Provided you got this far, subsequent problems occur when you discover you need a way to send messages between microthreads in a manner which abstracts processing network I/O events, and if you're using threads also lets you send messages between them. I experimented for years with this problem, coming up with some pretty complex abstractions between a multitude of event sources and threading models.
In the end, after years of struggling to build a framework for concurrent network programming, I never reached a point where I was satisfied. I never felt I had truly abstracted away the problems I was trying to solve.
Eventually I realized shared-nothing was the way to go. I became quite enamored with Dan Bernstein's qmail application, which used a collection of shared-nothing OS processes which communicate over pipes in order to process network traffic. Sick of threads, sick of microthreads, sick of trying to synchronize shared information, this is where I ended up. The wisdom of the Unix philosophy: "Do one thing and do it well," finally manifested itself in my eyes.
Finally, I found Erlang. The more I read about it, the more I realized it was an absolutely brilliant implementation of the very model that I had, for years, tried to implement myself. Furthermore, it combined the models of multiple native threads per CPU core which in turn run multiple "microthreads" with a messaging system far more elegant than I ever mustered myself.
For those of you who have not read it, here is a description of Erlang message processing, excerpted from the recently released Programming Erlang:
All that said, I felt naturally comfortable with the Erlang way of doing things. This is how I've been writing programs all along. It's feels so nice to finally find a language that abstracts away all the complex behaviors of concurrent network processing. Furthermore, distributed Erlang and the OTP framework are beyond my wildest dreams in terms of what you can build once the underlying problems are all abstracted away.
Now I can finally stop trying to build an ad hoc, informally-specified, bug-ridden framework, and start focusing on what I've actually cared about all along: the function.
有空闲时间可以先了解一下erlang有什么优点缺点, 适合用来做什么
接下来如果适合你的需求, 又或者你对它感兴趣, 可以继续深入
对不了解的技术语言等等大概都可以依此对待, 大略了去了解一下自己不熟悉的东西总是有点好处的, 也不至于浪费多少时间
嗯,是这个理。无锁机制的erlang在并行处理领域自然得心应手,不过在其它领域(比如OO)的应用还有待研究。
有空闲时间可以先了解一下erlang有什么优点缺点, 适合用来做什么
接下来如果适合你的需求, 又或者你对它感兴趣, 可以继续深入
对不了解的技术语言等等大概都可以依此对待, 大略了去了解一下自己不熟悉的东西总是有点好处的, 也不至于浪费多少时间
感觉写的非常好(激动中) 和我的经历几乎一样 得出的结论就是: erlang就是我要的 网络应用erlang足够强大了
After having turned into something of an Erlang zealot about two months ago, I've been asked this question quite frequently. I think the best way to explain this is as a corollary to Greenspun's Tenth Rule:
Any sufficiently advanced concurrent C program contains an ad hoc, informally-specified, bug ridden, slow implementation of half of ErlangI've always had a slight obsession with developing network servers which I intended to process high numbers of concurrent connections. For years and years I tried to do this in C, exploring many different methods of event monitoring, as well as exploring different ways of implementing network servers as described in such books as Unix Network Programming. Sadly I found many of these models and approaches out-of-date. When glibc came out for Linux, threading became the de-facto standard.
Years later, I would try to implement a massively concurrent network server which used a thread-per-request model. By then I had built up quite a home-brewed server framework, with abstract interfaces to many OS facilities, and had written a network server with over 20,000 lines of code.
This is where I began to hit the wall with threads. I had cross-platform threading abstractions between Win32 and pthreads, and had been testing on a number of platforms, and started noticing that on certain platforms I was running into deadlocks, but not others. As the data structures grew increasingly advanced I started to notice more deadlocks. The locking became increasingly more sophisticated, more difficult to debug, and the performance began to decrease as important shared structures needed to be synchronized across all threads.
I began reading more on the overhead of mutexes, which for a performance-obsessed C programmer was quite maddening. Locking a mutex on Win32, for example, required over 600 CPU instructions! I soon came to the realization that the best approach was really one or two threads per CPU core, and that some lighter weight concurrency mechanism which avoids the synchronization problems of threads was the better approach to addressing high numbers of concurrent connections.
I first discovered Knuth's Coroutines as described in The Art of Computer Programming. These provide for lightweight cooperative scheduling without the need of a system call to switch between them. The GNU Pth library implemented something quite similar. I found several similar approaches to userspace threading, including the idea of "microthreads" as implemented by Win32's Fibers and *IX's ucontexts.
The end goal of all of these approaches was separating behavior from function. Each native thread (provided you have more than one) has its behavior isolated into an inner event loop, and the function can be implemented as a microthread.
Provided you got this far, subsequent problems occur when you discover you need a way to send messages between microthreads in a manner which abstracts processing network I/O events, and if you're using threads also lets you send messages between them. I experimented for years with this problem, coming up with some pretty complex abstractions between a multitude of event sources and threading models.
In the end, after years of struggling to build a framework for concurrent network programming, I never reached a point where I was satisfied. I never felt I had truly abstracted away the problems I was trying to solve.
Eventually I realized shared-nothing was the way to go. I became quite enamored with Dan Bernstein's qmail application, which used a collection of shared-nothing OS processes which communicate over pipes in order to process network traffic. Sick of threads, sick of microthreads, sick of trying to synchronize shared information, this is where I ended up. The wisdom of the Unix philosophy: "Do one thing and do it well," finally manifested itself in my eyes.
Finally, I found Erlang. The more I read about it, the more I realized it was an absolutely brilliant implementation of the very model that I had, for years, tried to implement myself. Furthermore, it combined the models of multiple native threads per CPU core which in turn run multiple "microthreads" with a messaging system far more elegant than I ever mustered myself.
For those of you who have not read it, here is a description of Erlang message processing, excerpted from the recently released Programming Erlang:
After reading this I realized this was what I was trying to invent all along. I showed this approach to Zed Shaw (whom you might recognize as the creator of the Mongrel web server) and he expressed that it was quite similar to the way he implemented message handling in his Myriad framework. I'm not going to speak for Zed in terms of Myriad being an ad hoc reimplementation of Erlang, but just point it out to show that when dealing with these sorts of problems long enough people come to the same sort of conclusions about how to solve them.
- When we enter a receive statement, we start a timer (but only if an after section is present in the expression).
- Take the first message in the mailbox and try to match it against Pattern1, Pattern2, and so on. If the match succeeds, the message is removed from the mailbox, and the expressions following the pattern are evaluated.
- If none of the patterns in the receive statement matches the first message in the mailbox, then the first message is removed from the mailbox and put into a “save queue.” The second message in the mailbox is then tried. This procedure is repeated until a matching message is found or until all the messages in the mailbox have been examined.
- If none of the messages in the mailbox matches, then the process is suspended and will be rescheduled for execution the next time a new message is put in the mailbox. Note that when a new message arrives, the messages in the save queue are not rematched; only the new message is matched.
- As soon as a message has been matched, then all messages that have been put into the save queue are reentered into the mailbox in the order in which they arrived at the process. If a timer was set, it is cleared.
- If the timer elapses when we are waiting for a message, then evaluate the expressions ExpressionsTimeout and put any saved messages back into the mailbox in the order in which they arrived at the process.
All that said, I felt naturally comfortable with the Erlang way of doing things. This is how I've been writing programs all along. It's feels so nice to finally find a language that abstracts away all the complex behaviors of concurrent network processing. Furthermore, distributed Erlang and the OTP framework are beyond my wildest dreams in terms of what you can build once the underlying problems are all abstracted away.
Now I can finally stop trying to build an ad hoc, informally-specified, bug-ridden framework, and start focusing on what I've actually cared about all along: the function.
评论
5 楼
mryufeng
2007-11-20
谢谢 zhuzhaoyuan同学翻译了上面的文章, 贴在了erlang-china.org
4 楼
javaeye000
2007-11-02
ronn 写道
javaeye000 写道
做非并行处理程序的c开发人员没有必要投靠erlang吧?
有空闲时间可以先了解一下erlang有什么优点缺点, 适合用来做什么
接下来如果适合你的需求, 又或者你对它感兴趣, 可以继续深入
对不了解的技术语言等等大概都可以依此对待, 大略了去了解一下自己不熟悉的东西总是有点好处的, 也不至于浪费多少时间
嗯,是这个理。无锁机制的erlang在并行处理领域自然得心应手,不过在其它领域(比如OO)的应用还有待研究。
3 楼
ronn
2007-11-02
javaeye000 写道
做非并行处理程序的c开发人员没有必要投靠erlang吧?
有空闲时间可以先了解一下erlang有什么优点缺点, 适合用来做什么
接下来如果适合你的需求, 又或者你对它感兴趣, 可以继续深入
对不了解的技术语言等等大概都可以依此对待, 大略了去了解一下自己不熟悉的东西总是有点好处的, 也不至于浪费多少时间
2 楼
javaeye000
2007-11-02
做非并行处理程序的c开发人员没有必要投靠erlang吧?
1 楼
mryufeng
2007-11-01
有那位大侠可以把这篇文章翻译下 对于说服为数众多的c开发人员投靠erlang很大帮助。
发表评论
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OTP R14A今天发布了
2010-06-17 14:36 2709以下是这次发布的亮点,没有太大的性能改进, 主要是修理了很多B ... -
R14A实现了EEP31,添加了binary模块
2010-05-21 15:15 3061Erlang的binary数据结构非常强大,而且偏向底层,在作 ... -
如何查看节点的可用句柄数目和已用句柄数
2010-04-08 03:31 4834很多同学在使用erlang的过程中, 碰到了很奇怪的问题, 后 ... -
获取Erlang系统信息的代码片段
2010-04-06 21:49 3496从lib/megaco/src/tcp/megaco_tcp_ ... -
iolist跟list有什么区别?
2010-04-06 20:30 6554看到erlang-china.org上有个 ... -
erlang:send_after和erlang:start_timer的使用解释
2010-04-06 18:31 8426前段时间arksea 同学提出这个问题, 因为文档里面写的很不 ... -
Latest news from the Erlang/OTP team at Ericsson 2010
2010-04-05 19:23 2030参考Talk http://www.erlang-factor ... -
对try 异常 运行的疑问,为什么出现两种结果
2010-04-05 19:22 2866郎咸武<langxianzhe@163.com> ... -
Erlang ERTS Async基础设施
2010-03-19 00:03 2545其实Erts的Async做的很不错的, 相当的完备, 性能又高 ... -
CloudI 0.0.9 Released, A Cloud as an Interface
2010-03-09 22:32 2498基于Erlang的云平台 看了下代码 质量还是不错的 完成了不 ... -
Memory matters - even in Erlang (再次说明了了解内存如何工作的必要性)
2010-03-09 20:26 3472原文地址:http://www.lshift.net/blog ... -
Some simple examples of using Erlang’s XPath implementation
2010-03-08 23:30 2066原文地址 http://www.lshift.net/blog ... -
lcnt 环境搭建
2010-02-26 16:19 2631抄书:otp_doc_html_R13B04/lib/tool ... -
Erlang强大的代码重构工具 tidier
2010-02-25 16:22 2498Jan 29, 2010 We are very happy ... -
[Feb 24 2010] Erlang/OTP R13B04 has been released
2010-02-25 00:31 1402Erlang/OTP R13B04 has been rele ... -
R13B04 Installation
2010-01-28 10:28 1412R13B04后erlang的源码编译为了考虑移植性,就改变了编 ... -
Running tests
2010-01-19 14:51 1507R13B03以后 OTP的模块加入了大量的测试模块,这些模块都 ... -
R13B04在细化Binary heap
2010-01-14 15:11 1517从github otp的更新日志可以清楚的看到otp R13B ... -
R13B03 binary vheap有助减少binary内存压力
2009-11-29 16:07 1677R13B03 binary vheap有助减少binary内存 ... -
erl_nif 扩展erlang的另外一种方法
2009-11-26 01:02 3245我们知道扩展erl有2种方法, driver和port. 这2 ...
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项目工程资源经过严格测试运行并且功能上ok,可实现复现复刻,拿到资料包后可实现复现出一样的项目,本人系统开发经验充足(全栈全领域),有任何使用问题欢迎随时与我联系,我会抽时间努力为您解惑,提供帮助 【资源内容】:包含源码+工程文件+说明等。答辩评审平均分达到96分,放心下载使用!可实现复现;设计报告也可借鉴此项目;该资源内项目代码都经过测试运行,功能ok 【项目价值】:可用在相关项目设计中,皆可应用在项目、毕业设计、课程设计、期末/期中/大作业、工程实训、大创等学科竞赛比赛、初期项目立项、学习/练手等方面,可借鉴此优质项目实现复刻,设计报告也可借鉴此项目,也可基于此项目来扩展开发出更多功能 【提供帮助】:有任何使用上的问题欢迎随时与我联系,抽时间努力解答解惑,提供帮助 【附带帮助】:若还需要相关开发工具、学习资料等,我会提供帮助,提供资料,鼓励学习进步 下载后请首先打开说明文件(如有);整理时不同项目所包含资源内容不同;项目工程可实现复现复刻,如果基础还行,也可在此程序基础上进行修改,以实现其它功能。供开源学习/技术交流/学习参考,勿用于商业用途。质量优质,放心下载使用
内容概要:本文介绍了Python中基于双向长短期记忆网络(BiLSTM)与AdaBoost相结合的多输入分类预测模型的设计与实现。BiLSTM擅长捕捉时间序列的双向依赖关系,而AdaBoost则通过集成弱学习器来提高分类精度和稳定性。文章详述了该项目的背景、目标、挑战、特色和应用场景,并提供了详细的模型构建流程、超参数优化以及视觉展示的方法和技术要点。此外,还附有完整的效果预测图表程序和具体示例代码,使读者可以快速上手构建属于自己的高效稳定的时间序列预测系统。 适合人群:对深度学习特别是时序数据分析感兴趣的开发者或者科研工作者;正在探索高级机器学习技术和寻求解决方案的企业分析师。 使用场景及目标:适用于希望提升时间序列或多输入数据类别判定准确度的业务情境,比如金融市场的走势预估、医学图像分析中的病变区域判读或是物联网环境监测下设备状态预警等任务。目的是为了创建更加智能且可靠的预测工具,在实际应用中带来更精准可靠的结果。 其他说明:文中提供的所有Python代码片段和方法都可以直接运用于实践中,并可根据特定的问题进行相应调整和扩展,进一步改进现有系统的效能并拓展新的功能特性。
1、文件内容:maven-script-interpreter-javadoc-1.0-7.el7.rpm以及相关依赖 2、文件形式:tar.gz压缩包 3、安装指令: #Step1、解压 tar -zxvf /mnt/data/output/maven-script-interpreter-javadoc-1.0-7.el7.tar.gz #Step2、进入解压后的目录,执行安装 sudo rpm -ivh *.rpm 4、更多资源/技术支持:公众号禅静编程坊
在云服务器上搭建MQTT服务器(超详细,一步到位)
复现改进的L-SHADE差分进化算法求解最优化问题详解:附MATLAB源码与测试函数集,复现改进的L-SHADE差分进化算法求解最优化问题详解:MATLAB源码与测试集全攻略,复现改进的L-SHADE差分进化算法求最优化问题 对配套文献所提出的改进的L-SHADE差分进化算法求解最优化问题的的复现,提供完整MATLAB源代码和测试函数集,到手可运行,运行效果如图2所示。 代码所用测试函数集与文献相同:对CEC2014最优化测试函数集中的全部30个函数进行了测试验证,运行结果与文献一致。 ,复现; 改进的L-SHADE差分进化算法; 最优化问题求解; MATLAB源代码; 测试函数集; CEC2014最优化测试函数集,复现改进L-SHADE算法:最优化问题的MATLAB求解与验证
天津大学:深度解读DeepSeek原理与效应.pdf 1.大语言模型发展路线图 2.DeepSeek V2-V3/R1技术原理 3DeepSeek效应 4.未来展望
光伏混合储能微电网能量管理系统模型:基于MPPT控制的光伏发电与一阶低通滤波算法的混合储能系统优化管理,光伏混合储能微电网能量优化管理与稳定运行系统,光伏-混合储能微电网能量管理系统模型 系统主要由光伏发电模块、mppt控制模块、混合储能系统模块、直流负载模块、soc限值管理控制模块、hess能量管理控制模块。 光伏发电系统采用mppt最大跟踪控制,实现光伏功率的稳定输出;混合储能系统由蓄电池和超级电容组合构成,并采用一阶低通滤波算法实现两种储能介质间的功率分配,其中蓄电池响应目标功率中的低频部分,超级电容响应目标功率中的高频部分,最终实现对目标功率的跟踪响应;SOC限值管理控制,根据储能介质的不同特性,优化混合储能功率分配,进一步优化蓄电池充放电过程,再根据超级电容容量特点,设计其荷电状态区分管理策略,避免过充过放,维持系统稳定运行;最后,综合混合储能和系统功率平衡,针对光伏储能微电网的不同工况进行仿真实验,验证控制策略的有效性。 本模型完整无错,附带对应复现文献paper,容易理解,可塑性高 ,光伏; 混合储能系统; 能量管理; MPPT控制; 直流负载;
Matlab算法下的A星路径规划改进版:提升搜索效率,优化拐角并路径平滑处理,Matlab下的A星算法改进:提升搜索效率、冗余拐角优化及路径平滑处理,Matlab算法代码 A星算法 路径规划A* Astar算法仿真 传统A*+改进后的A*算法 Matlab代码 改进: ①提升搜索效率(引入权重系数) ②冗余拐角优化(可显示拐角优化次数) ③路径平滑处理(引入梯度下降算法配合S-G滤波器) ,Matlab算法代码; A星算法; 路径规划A*; Astar算法仿真; 传统A*; 改进A*算法; 提升搜索效率; 冗余拐角优化; 路径平滑处理; 权重系数; S-G滤波器。,Matlab中的A*算法:传统与改进的路径规划仿真研究
项目开发所用的主要提示词模板
项目工程资源经过严格测试运行并且功能上ok,可实现复现复刻,拿到资料包后可实现复现出一样的项目,本人系统开发经验充足(全栈全领域),有任何使用问题欢迎随时与我联系,我会抽时间努力为您解惑,提供帮助 【资源内容】:包含源码+工程文件+说明等。答辩评审平均分达到96分,放心下载使用!可实现复现;设计报告也可借鉴此项目;该资源内项目代码都经过测试运行;功能ok 【项目价值】:可用在相关项目设计中,皆可应用在项目、毕业设计、课程设计、期末/期中/大作业、工程实训、大创等学科竞赛比赛、初期项目立项、学习/练手等方面,可借鉴此优质项目实现复刻,设计报告也可借鉴此项目,也可基于此项目来扩展开发出更多功能 【提供帮助】:有任何使用上的问题欢迎随时与我联系,抽时间努力解答解惑,提供帮助 【附带帮助】:若还需要相关开发工具、学习资料等,我会提供帮助,提供资料,鼓励学习进步 下载后请首先打开说明文件(如有);整理时不同项目所包含资源内容不同;项目工程可实现复现复刻,如果基础还行,也可在此程序基础上进行修改,以实现其它功能。供开源学习/技术交流/学习参考,勿用于商业用途。质量优质,放心下载使用
电力系统暂态稳定性仿真分析:Matlab编程与Simulink模型下的各类故障影响研究,电力系统暂态稳定性仿真分析:Matlab编程与Simulink模型下的各类故障影响研究,电力系统暂态稳定性Matlab编程 Simulink仿真 单机无穷大系统发生各类(三相短路,单相接地,两相接地,两相相间短路)等短路故障,各类(单相断线,两相断线,三相断线)等断线故障,暂态稳定仿真分析 Simulink搭建电力系统暂态仿真模型 通过仿真,观察串联电抗器,并联补偿器,自动重合闸,以及故障切除快慢对暂态稳定性的影响 ,电力系统暂态稳定性; Matlab编程; Simulink仿真; 短路故障; 断线故障; 暂态稳定仿真分析; 仿真模型搭建; 电抗器影响; 补偿器影响; 自动重合闸; 故障切除时间。,Matlab编程与Simulink仿真在电力系统暂态稳定性分析中的应用