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复杂温度系统的PID神经元网络控制研究
Study on PID Neural Networks for Complicated Temperature System
【摘要】 针对工业对象中普遍存在的大滞后、非线性、时变等复杂特性,本文结合PID与神经网络的特点,设计了PID神经元网络控制器,仿真结果表明,该控制器具有很高的灵活性与鲁棒性,能取得较好的控制效果。
【Abstract】 The PID neural networks controller with PID and neural networks is designed in view of the complicated properties of large delay-time,nonlinear and time-variant in the industry.The simulation example shows that the PID neural networks controller is of high flexible and robust and good control effect.
- 【文献出处】 微计算机信息 ,Microcomputer Information , 编辑部邮箱 ,2009年01期
- 【分类号】TP273.5
- 【被引频次】5
- 【下载频次】220