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说明：  这是MATLAB和VC相互调用的例子，通过MATCOM来实现，所以想学习如果在VC中调用MATLAB函数的，可以学习一下(This is the MATLAB and examples of VC call each other by MATCOM to achieve, so if you want to learn to call MATLAB functions VC, you can learn about)

说明：  《神经－模糊和软计算》（Neuro-Fuzzy and Soft Computing）一书的例子程序。 作者： Jyh-Shing Roger Jang是个日本人，翻译成中文好像是水谷英二。("neuro-fuzzy and soft computing" (neuro-fuzzy and Soft Computing), an example of the procedure. Author : Jyh-Shing Roger Jang is the Japanese translation into Chinese water is like two British Valley.)

MATLAB/SIMULINK BASED NON Linear Control of PUMA 560

当前统计模型机动目标跟踪算法。本程序对做圆周运动的机动目标的X方向进行了跟踪仿真。(Current statistical model for maneuvering target tracking algorithm. This procedure for doing circular motion of the X direction of maneuvering target tracking simulation carried out.)

matlab遗传算法 matlab遗传算法matlab遗传算法matlab遗传算法matlab遗传算法(matlab genetic algorithm )

this code for add training sequence in OFDM system

its a digital image processing project in matlab image recognition

内容涵盖最优控制系统的设计方法，稳定性，稳态性能指标，动态性能等方面的详细分析(Detailed analysis covers the design of optimal control systems, stability, steady-state performance, dynamic performance)

In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyPSO) is introduced to improve the performance of the standard particles swarm optimization to achieve better results and avoid stagnation at bad results. This new mechanism is also tested by the same benchmark functions. The results of improved PSO are then compared with those of standard PSO and different published improved PSO (SPSO, PSO-XD, CPSO-S and PSO-P5).

说明：  利用matlab实现多目标遗传算法，NSGA 2(Multi objective genetic algorithm based on MATLAB)