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This is the demo file for Rhors counter example: adaptive control for system with unmodeled dynamics, which show the lack of robustness of the traditional MRAC. DoSims.m: This script initializes the model parameters, run the simulation, and plot all the results automatically. L1Model_Rohrs.mdl:the implementation of L1 adaptive controller. MracModel_Rohrs.mdl: the implementation of the traditional MRAC. Refer to the following papers for background: C.E. Rohrs, L. Valavani, M. Athans, and G. Stein, "Stability Problems of Adaptive Control Algorithms in the Pressence of Unmodeled Dynamics", 21st Conference on Decision and Control, Dec 1982. Enric Xargay, Naira Hovakimyan and Chengyu Cao, "Benchmark Problems of Adaptive Control Revisited by L1 Adaptive Control", International Symposium on Intelligent Control and 17th Mediterranean Conference on Control and Automation, Thessaloniki, Greece, June 24-26, 2009, pp. 31-36.

KPCA原始程序，可用于故障诊断，并附有T2和SPE诊断图(KPCA original program can be used for fault diagnosis, together with the T2 and SPE diagnostic diagram)

This function displays the frequency content of the range-cells.

数学建模元胞自动机代码下载，提供各种情况，便于修改和应用。matlab数学建模元胞自动机代码分享

该文件有助于初学习matlab者建立信号的概念(The document will help to establish early learning matlab signal concept)

使用MATLAB语言编写的有限元程序，是对[Programming_the_Finite_Element】中Fortran语言的MATLAB语言重写(Use MATLAB language finite element program is [Programming_the_Finite_Element MATLAB language] in Fortran language rewrite)

说明：  并网逆变器的控制模型，包含有功功率无功功率控制，以及谐振控制(Grid connected inverter)

使用大量的有限元法求解偏微分方程，三相光伏逆变并网的仿真，PLS部分最小二乘工具箱,对于初学matlab的同学会有帮助，关于小波的matlab复合分析，相参脉冲串复调制信号，使用起来非常方便。

说明：  随机共振的MATLAB源程序，运用龙哥库塔算法进行的仿真 (sr based on matlab using the longewan function to simulate )

提出了一种新的算法结构,通过建立“局部环境因数”模型,利用集中式处理模式,动态 分配全局勘探和局部开采子种群比例,有效地实现分工目的,平衡算法的局部和全局搜索能力。将其 应用到两个不同类型的实际工程约束优化问题中进行验证,并与其他文献的改进算法进行了对比。 实验结果表明,该算法比其他改进算法在计算精度、效率、鲁棒性上都有很大的提高(Anewalgorithmarchitecturewasproposed. Inorder to adjust effectively the ratioof exploration subgroup versusexploitationone, the algorithmadopted the centralizedprocessingtechnique toconstruct the local environment factor, andbalancedthe local andglobal searchcapabilitiesof the algorithm. Furthermore, comparedwithother improvedintelligent algorithms, experimental results got from the application and verification of real constrained engineering design problem indicate that the algorithmperformsbetter intermsof accuracy, efficiencyandrobustness)