StockAnalysis

此时例是关于用matlab实现牛顿法求解非线性方程组，（包含牛顿法、改进的牛顿法.梯度法、最速下降法代码），里面附带可以直接运行的程序。(At this case is about solving nonlinear equations using matlab Newton, (including Newton, Newton method to improve the code), which comes with the program can be run directly.)

一个kalman滑模线性自抗扰算法案例，用于初学者学习，参考(A sliding linear kalman ADRC algorithm case for beginners to learn, reference)

利用单电容进行主动均衡,实现各个电池单体电压的一致(active balance)

说明：  我边写的关于无限通信中的瑞丽分布的仿真程序.(while I was on the communication of unlimited distribution of Ruili simulation program.)

PFCM clustering algorithm

最大流问题，一种组合最优化问题，就是要讨论如何充分利用装置的能力，使得运输的流量最大，以取得最好的效果。求最大流的标号算法最早由福特和福克逊于1956年提出，20世纪50年代福特、福克逊建立的“网络流理论”，是网络应用的重要组成成分。(Maximum flow problem, a combinatorial optimization problem, is to discuss how to make full use of the capacity of the device to maximize the flow of transport in order to achieve the best results. The labeling algorithm for maximum flow was first proposed by Ford and Fulkerson in 1956. The network flow theory established by Ford and Fulkerson in 1950s is an important component of network application.)

说明：  Matlab射频电路设计－理论与应用(光盘)(Matlab RF Circuit Design- Theory and Applications (CD-ROM))

Cellular Learning Automata Simulation

Simulink files: · HeaterTest.mdl Heater test model in Simulink(Requires HdataM) · TSKHeater.mdl Heater control using TSK alg(Requires HdataM,HdataF,HdataTd) · MamdaniTest.mdl Simple Mamdani test model(Requires Mdata) · Mamdani9Test.mdl 9 rule Mamdani test model(Requires Mdata) · Mamdani25Test.mdl" 25 rule Mamdani test model(Requires Mdata25) · EngineTest.mdl Vehicle engine test model in Simulink(Requires VdataM,VdataC) · MamdaniVehicle.mdl Vehicle control via simple Mamdani FLC(Requires VdataM,VdataF) · Mamdani9Vehicle.mdl Vehicle control via 9 rule Mamdani FLC(Requires VdataM,VdataF) · Mamdani25Vehicle.mdl Vehicle control via 25 rule Mamdani FLC(Requires VdataM,VdataF25) · OptimalVehicle.mdl Vehicle control via simple LQ alg(Requires VdataM,VdataC)

通信中的QPSK相位调制建摸，其中考虑了多径和高斯的影响(Communication QPSK modulation phase modeling, which takes into account the multi-path effects and Gaussian)