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The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.

说明：  用鲁棒控制方法来控制一个简单的二阶机械系统：质量块-阻尼器-弹簧系统。该系统是本科生实验教学中常见的控制实验装置。作为本书中的第一个案例，将针对该装置介绍三种控制器的详细设计方法，分析闭环系统的鲁棒稳定性和鲁棒性能。为了简化设计过程，此处仅考虑模型的结构扰动（参数扰动）。针对此例，介绍了matlab鲁棒控制工具箱（Robust Control Toolbox）一些鲁棒控制器设计指令。希望此章的学习不仅能够教授鲁棒控制系统设计方面的知识，也能够教会大家如何使用鲁棒控制工具箱。(Robust control method is used to control a simple second order mechanical system: mass damper spring system. The system is a common control experimental device in undergraduate experimental teaching. As the first case in this book, the detailed design methods of three controllers for the device are introduced, and the robust stability and robust performance of the closed-loop system are analyzed. In order to simplify the design process, only the structural disturbance (parameter disturbance) of the model is considered here. For this example, some robust controller design instructions of MATLAB robust control toolbox are introduced. I hope that this chapter can not only teach the knowledge of robust control system design, but also teach you how to use robust control toolbox.)

a simulation example of the passe bande filter

Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp (Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359 (9306) :572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer. gov/ncifdaproteomics/ppatterns.asp)

实现2D—fft的matlab程序 以二维时间序列为基(Achieve 2D-fft matlab program)

截取语音处理的图片设计滤波器，并对被噪声污染的语音信号进行滤波，画出滤波前 后信号的时域波形和频谱，并进行比较分析； (The statics is very good for the semaster)

可以用此代码信号实现频谱仿真，希望对大家有用(You can use this code to achieve spectrum signal simulation, we hope to be useful)

Layer KRR method document

模糊控制及其MATLAB应用，本书从工程应用与实践的角度，对模糊推理与模糊控制系统做了深入浅出的介绍，并以多个实例详细介绍模糊推理学习及其在matlab模糊推理工具箱中的实现(Fuzzy Control and MATLAB applications, engineering applications and practice book from the perspective of fuzzy reasoning and fuzzy control system to do a simple introduction, and more detailed examples of its application in fuzzy inference learning matlab fuzzy inference toolbox achieve)

Simple Clustering BY ICA