prac10

本程序为基于RBF神经网络上界自适应学习的滑模控制，适用于实际无法测量上界值的情况。(This procedure is based on the RBF neural network to learn the upper bound of adaptive sliding mode control, can not be applied to the actual measurement of the upper bound values.)

说明：  利用奇异值分解-总体最小二乘法估计ARMA模型的AR参数,并利用参数进行谐波恢复仿真程序(The use of singular value decomposition- total least squares estimation of AR parameters of ARMA model and using the parameters of harmonic retrieval simulation program)

deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)

Remote Low Frequency State Feedback Kinematic Motion Control for Mobile Robot Trajectory Tracking

his packet is a IS-95 baseband simulation for 1 data channel of 9.6 KBps rate. The simulation is written for static channel and AWGN noise. The packet include: 1) Packet Builder (Viterbi Encoding, Interleaver, PN generation) 2) Modulator (RRC filter) 3) Demodulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterleaver, Viterbi Decoder). You should run "Simulation.m" function that include all modules.(his packet is a IS-95 baseband simulation f or a data channel rate of 9.6 KBps. The simulatio n is written for static channel and AWGN noise. T he packet include : 1) Packet Builder (Viterbi Encoding. Interleaver. PN generation) 2) Modulator (RRC filter) 3) Dem odulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterl eaver. Viterbi Decoder). You should run "Simulation. m "function that include all modules.)

三本书都是系统辨识方面的，其中两本非常出色为经典之作，另一本为matlab的最新的应用说明（2013b）(Three books are aspects of system identification, including two very good as the classic, the other being the matlab latest application notes (2013b))

IEEE-30 bus test system data files including the matlab data files

自适应噪声对消在微弱电力信号检测中的应用可以检测到很微弱的信号保护电力线进行了MATLAB仿真(Adaptive noise cancellation in the weak electrical signal detection application can detect very weak signals to protect the power lines of the MATLAB simulation)

用matlab编程实现GPS数据的采集与存储。(Implementation matlab programming using GPS data collection and storage.)

Different types of image filtering method