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matlab4.2 数值计算与编程 版本稍微有点老，还是有参考价值的(Numerical Methods and Programming matlab4.2 slightly older version, or a reference value)

包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题(Include: using the particle swarm algorithm for unconstrained optimization problems, with compression factor of particle swarm algorithm for solving unconstrained optimization problem with linear decreasing weight particle swarm optimization for unconstrained optimization problems, an adaptive weight particle swarm optimization unconstrained optimization problems, random weight particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor synchronous change of particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor asynchronous changes in particle swarm optimization algorithm for solving unconstrained optimization problem , with the second particle swarm optimization for unconstrained optimization problems, with the second-order oscillating particle swarm optimization algorithm for unconstrained optimization problem)

实现各种PID控制算法，包括传统PID，模糊PID以及计算动词PID控制器的源码(PID controller, fuzzy pid controller , computational verb pid controller)

针对案例数据，用matlab软件对数据进行极差法归一化处理；并使用主成分分析法分析选定成分的特征值贡献率，从而为进行下一步数据分析做一些准备。(According to the case data, the data is normalized by range method with MATLAB software, and the contribution rate of the selected components is analyzed by principal component analysis, so as to make some preparations for the next step of data analysis.)

introduce coding using Matlab

这个是我数字信号处理这门课的课程设计,文件包括用matlab编写的代码和设计报告.这个设计包括卷积演示程序、采样定理演示程序、模拟滤波器设计演示程序、设计切比雪夫I型低通滤波器、切比雪夫I型低通滤波器、双线性变换法设计巴特沃斯低通数字滤波器、用凯塞窗设计高通滤波器.(This is my curriculum design of digital signal processing of this course, the file including the use of matlab code and design report. This design includes convolutional demo program, sampling theorem demo, analog filter design demo program, design of Chebyshev type I low pass filter, Chebyshev type I low pass filter, bilinear transform design Butterworth low pass digital filter, high pass filter design with Kaiser window.)

针对传统PID控制器参数整定不易的局限性，将模糊控制与PID相结合，构造了一个模糊自整定PID控制器,(Traditional PID controller parameter tuning is not easy the limitations of the fuzzy control and PID combination structure of a fuzzy self-tuning PID controller)

matlab数值分析与应用复变函数与积分变换(complex function and integral transform )

该代码为基于pso算法优化的PID神经网络的系统控制算法(The code is optimized control algorithm based on PID neural networkthe pso algorithm )

说明：  基于matlab的摄像头监控程序，功能较强(camera monitor matlab)