资源列表
inverse1
- inverse dynamic of robot.nt to upload source code, you can
inverse21
- inverse dynamic of robot.nt to upload source code, you can
programs-txt
- 1. Transfer function to state space model transfer function to state space A=[1 1 1] B=[1 6 11 6] [A,B,C,D]=tf2ss(num,den)
2221
- Development of a Self-Tuning TSK-Fuzzy Speed Control Strategy for Switched Reluctance Motor
inverse12
- inverse sinematic of robot.You should upload at least five sourcecode.
DataDemon--time-frequency-analysis-
- DataDemon-时频分析解决方案 随着科技迅速发展，讯号分析处理者面临的是日趋庞大的计算数据量，和越来越复杂的仿真模式。如何缩短开发时间、节省研究经费、又能实现高效能、高弹性的运算平台供后续研究使用便越来越重要。 DynaDx提出DataDemon-时频分析解决方案，以组件组合的设计概念，免除繁杂程序写作方式，提供讯号处理的可视化控制组件，让处理讯号分析的过程就像拼组模型一般，使用者可依据自己的构想去组合出更多元之讯号分析呈现。不再需要从头撰写繁杂的程序代码便能使用各种讯号处理的算法
SharifPWE_3DplotE
- this file is about band structure of 3d photonic crystal.in this program we use the pwe methode for calculation of band structure
gogoi
- In the process control industry, majority of control loops are based on ProportionalIntegral-Derivative (PID) controllers. The basic structure of the PID controllers makes it easy to regulate the process output. Design methods leading to an optima
Mouli_PID-08001819301315241
- Proportional integral derivative (PID) controllers are still widely used today to control many processes because of their long history of proven operation in addition to the fact that they are well understood by many operational, technical and
InTech-Pid_controller_design_for_specified_perfor
- How can proper controller adjustments be quickly determined on any control application?” The question posed by authors of the first published PID tuning method J.G.Ziegler and N.B.Nichols in 1942 is still topical and challenging for control eng
cs1
- Tuning PID controllers can seem a mystery. Parameters that provide effective control over a process one day fail to do so the next. The stability and responsiveness of a process seem to be at complete odds with each other-Tuning PID contro
ondera
- Custom tools for MATLAB supporting analysis and design of nonlinear control systems are introduced in this paper. The paper demonstrates their use to solve sample nonlinear control problems and presents some of the MATLAB algorithms invol