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关于最小二乘支持向量机的预测控制技术的论文，希望对大家有所帮助-On least squares support vector machine model predictive control technology, the paper, we want to help
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一类非线性系统的多模型预测控制,鳗辨识建立多个局部模型．根据每个局部模型分别设计子GPC控制嚣，通过跟踪工况变化对于
控制器加权以获得控制增量．仿真结果表明该方法可取得令人满意的控制效果．
关键词：多模型；非线性系统；模糊聚类；预测控制-multiple model based predictive control for a class of nonlinear systems
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0下载：
一类非线性系统的多模型预测控制,鳗辨识建立多个局部模型．根据每个局部模型分别设计子GPC控制嚣，通过跟踪工况变化对于
控制器加权以获得控制增量．仿真结果表明该方法可取得令人满意的控制效果．
关键词：多模型；非线性系统；模糊聚类；预测控制-multiple model based predictive control for a class of nonlinear systems
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The doubly fed induction generator (DFIG) is widely
used in wind energy. This paper proposes a model-based predictive
controller for a power control of DFIG. The control law is derived
by optimization of an objective function that considers the
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无模型预测控制，也就是根据过去的输入输出和未来的输入来一边建模一边控制，这篇论文还是很值得参考-No model predictive control, which is based on past and future input-output modeling while controlling the input side, the paper is still worth considering
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Aimed at nonlinear MIMO system, a model
predictive control (MPC) strategy based on least squares
support vector machine (LSSVM) and mutative scale chaos
optimization is proposed
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