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基于递阶遗传算法的神经网络预测控制(英文)
引用本文:刘宝坤,王慧,李光泉.基于递阶遗传算法的神经网络预测控制(英文)[J].天津大学学报(英文版),1998(2).
作者姓名:刘宝坤  王慧  李光泉
作者单位:天津大学电气自动化与能源工程学院
摘    要:针对具有时延非线性系统提出一种神经网络预测控制.相应的预测模型通过递阶遗传算法离线训练数据并实时多步递推得到;性能函数中引入模型误差校正以克服模型失配及干扰等对系统造成的影响.仿真结果表明该系统具有良好动态响应及鲁棒性.

关 键 词:神经网络,预测控制,遗传算法,非线性系统

NEURAL NETWORK PREDICTIVE CONTROL WITH HIERARCHICAL GENETIC ALGORITHM
Abstract:A kind of predictive control based on the neural network(NN) for nonlinear systems with time delay is addressed.The off line NN model is obtained by using hierarchical genetic algorithms (HGA) to train a sequence data of input and output.Output predictions are obtained by recursively mapping the NN model.The error rectification term is introduced into a performance function that is directly optimized while on line control so that it overcomes influences of the mismatched model and disturbances,etc.Simulations show the system has good dynamic responses and robustness.
Keywords:neural networks(NN)  predictive control  hierarchical genetic algorithms  nonlinear system
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