摘要
提出一种基于遗传算法的ＰＩＤ神经网络解耦控制算法。该算法将遗传算法用于多层前向神经网络的连接权系数的学习，克服了ＢＰ算法易陷入局部极值的缺点，并具备ＰＩＤ 神经网络控制器结构简单规范、动态和静态性能良好等优点。
A PID neural network decoupling method based on genetic algorithm is presented. Genetic algorithm is applied in training weighting factor of multilayered forward neural network, thus the disadvantage of BP algorithm that easily fall into partial extreme value can be overcome and at the same time, the advantage of PID neurocontroller that has simple structure and good dynamic and static performance is provided with. This method can be applied to the decoupling control of nonlinear multivariable system.
出处
《控制与决策》
EI
CSCD
北大核心
1999年第A11期617-620,共4页
Control and Decision
基金
辽宁省自然科学基金
关键词
遗传算法
PID控制
解耦控制
神经网络
genetic algorithm, PID control, neural network, decoupling, multivariable system
