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TheSimulationStudyonPIDNeuralNetworkDecouplingCont

于 2009-08-27 发布文件大小:162KB

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说明：介绍了汽包锅炉燃烧控制系统的控制任务、量间关系、原则性控制方案、传统控制方法,以及解耦控制方法的发展 ,引入了 PID型神经网络控制系统的结构、学习算法、初始权值参数选取. MATLAB仿真结果表明 ,该控制系统对多变量强耦合时变的锅炉燃烧控制对象具有良好的解耦性能和自学习控制特性.(The control tasks, the relations between physical variables, the fundamental controlschemes, the conventional controlmethodsof the control system for steam drum boiler combustion)

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TheSimulationStudyonPIDNeuralNetworkDecouplingCont

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