Robot-simulation-matlab

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.

This report, Available Transfer Capability Definitions and Determination, is in response to a NERC Strategic Initiative to “develop uniform definitions for determining Available (Transmission) Transfer Capability (ATC) and related terms that satisfy both [Federal Energy Regulatory Commission] FERC and electric industry needs, and which are to be implemented throughout the industry.” The NERC Board of Trustees at its May 13–14, 1996 meeting approved this report and endorsed its use by all segments of the electric industry

Blocking probabilities.. 5 switch with 5 stage

利用matlab语言实现的BP算法，很好用。(Using matlab language implementation of the BP algorithm, it just works.)

《脑电信号分析方法及其应用》书中示例程序，书的附录中有该程序列表(EEG analysis method and its application（the book program）)

this is a matlab/simulink simulation for the direct adaptive fuzzy control of the inverted pendilum.

This program Is an IR bandpass filter which filters the signal that is needed for processing.

稀疏非负矩阵分解，稀疏非负矩阵分解（SNMF）在线形稀疏编码理论的基础上将大量数据分解成正稀疏分量的一种算法(SNMF，Sparse non-negative matrix factorization)

An matlab script that open an audio aiff file and extract the data put into a raw pcm variable.

首先，仿真信号建模；其次，形态学滤波及小波方法滤波；最后，特征提取(First, the simulated signal modeling followed by morphological filtering and wavelet filtering Finally, the feature extraction)