设计一模糊控制器，使系统输出尽快跟随系统输入；2）模糊控制与PID控制的性能进行比较；3）系统有无延迟性能进行比较 模糊PID控制 被控系统建模-Design a fuzzy controller, the system output as soon as possible to follow the system input 2) fuzzy control and PID control performance comparison 3) whether the delay

基于BP神经网络的PID参数自整定，实现PID控制器的自适应控制(Self-tuning of PID parameters based on BP neural network)

温控 一般是令Ti=0、Td=0。输入设定为系统允许的最大值的60%~70%，由0逐渐加大比例增益P，直至系统出现振荡；再反过来，从此时的比例增益P逐渐减小，直至系统振荡消失，记录此时的比例增益P，设定PID的比例增益P为当前值的60%~70%。(t control An integral term increases action in relation not only to the error but also the time for which it has persis

PID代码的实现，各种代码的实现，详细的解释，非常好的学习教程(PID code to achieve a variety of code to achieve a detailed explanation, a very good learning tutorial)

整定PID参数时，需采用一种不需要任何初始信息并可以寻求全局最优解的、高效的组合优化方法(When tuning PID parameters, an efficient combination optimization method is needed, which does not need any initial information and can seek global optimal solution)