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fuz_pid
- 模糊控制部分的源代码。模糊PID控制器结构改变固定参数KP,KI,KD的控制策略-Fuzzy control part of the source code. Fuzzy PID controller structure change fixed parameters KP, KI, KD control strategy
PID-control-based-BP
- 用一个多层前向神经网络，采用反向传播算法依据控制要求实时输出Kp、Ki、Kd，依次作为PID控制器的实时参数，代替传统PID参数靠经验的人工整定和工程整定，以达到对大迟延主气温系统的良好控制。-We use a multilayer feedforward neural network using back propagation algorithm and based on control requirements.This net can real-time output Kp, Ki, K
fuzzy-PID
- 模糊PID控制器具有控制任意非线性函数的能力，能实现对PID控制器的参数Kp, Ki, Kd的实时在线整定，使系统具有更好的鲁棒性和自适应性，其输出也可以通过在线调整达到预期的控制精度。-Fuzzy PID controller has the ability to control an arbitrary nonlinear function, can achieve the parameters of the PID controller Kp, Ki, Kd,
kp-kd-ki
- 基于控制系统中PID控制系统参数优化，使PID参数设置更为合理-Control system based on parameter optimization of PID control system, the PID parameters are more reasonable
2007518203554756
- 一个用simulink做的模糊PID自适应系统，通过三个模糊FIS：dkp,dki,dkd来分别控制Kp,Ki,Kd，以达到PID参数可自动调整的目的。--A simulink do with self-adaptive fuzzy PID system, through three fuzzy FIS: dkp, dki, dkd to control the Kp, Ki, Kd, in order to achieve automatic adjustment of PID paramet
KP
- 引入能够处理混合型数据的K-prototypes聚类算法，在此基础上构造了一种基于粒子群优化算法和K-prototypes方法的混合聚类算法-this paper employs the K-prototypes clustering algorithm to deal with mixed valued data, and designs a hybrid clustering algorithm based on particle swarm optimization algorithm a