Design Patterns in ActionScript–Facade

本文讲述了GUI的历史及其背后的故事,从Xerox PARC的创新到苹果公司的商业化成功。同时介绍了Facade设计模式,它如何简化复杂子系统的使用,并通过汽车加速踏板的例子进行了说明。

Have you ever heard Xerox PARC (Palo Alto Research Center, @see http://en.wikipedia.org/wiki/PARC_(company) )? This research center has many great innovations. GUI (Graphical User Interface) is one of them.


 

The history of GUI is an interesting story. After the PARC invent the GUI, they didn’t put this into business immediately. Sometimes later, a young man visited this center, and was shocked by the great innovations including the GUI. When the young man backed to his company, he put those ideas into their product, Macintosh, the first commercially successful product using GUI. And the young man, the CEO of that fruit company, began his legend in Silicon Valley.

 

OK, let’s turn to our topic today. Have you ever think about something under the GUI? Such as, when you click a button, how the computer will do? I mean the way, not the result. For example, when you click “open”, maybe it will show you a file chooser dialog. The file chooser dialog is the result, and the way to get the result maybe very complex. I think this is the great of GUI, you needn’t know the way, and you just need to know the result. All the details were covered by the system.

This situation was very common in our daily life. When you drive your car, you just put your foot on the accelerator pedal. Of course, you don’t know the details how the cat started, except you’ve ever studied it.

There is a pattern corresponding to these situations. It was called Façade.

Provide a unified interface to a set of interfaces in a subsystem. Facade defines a higher-level interface that makes the subsystem easier to use.

– By THE GOF BOOK

 

In the car example, you don’t know the inner structure of the car. And the car supplies you a higher-level interface, the accelerator pedal. Let’s mimic this example.

In order to make it easier to understand, we will only use three classes to illustrate this example, the Car, CarEngine and CarWheel.

You can see the diagram below.

clip_image002

< click to see oraginal image file>

Also, it can be described as blew.

clip_image004

< click to see oraginal image file>

From the client side, the car is a subsystem. And the client doesn’t need to know the internal structure of the car. All he need is the high-level interfaces.

You can see the source code for more information(download Download Full Project ).

As you see, this pattern is mainly use for reduce the complex of the subsystem, when you want to use some function provide by a subsystem. You don’t need to know the details about the subsystem, if you use this pattern. You just need to know the interfaces. It’s very helpful when you cooperate with others.

Enjoy!

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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