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基于非线性系统T-S模糊模型的随机最小方差控制

Minimum Variance Control Based on Nonlinear T-S Fuzzy Model
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摘要 以非线性系统的T-S模糊模型为基础,提出了一种基于最小方差性能指标的随机控制方法。分析了系统的稳定性问题并给出了系统稳定的充分条件。将此方法用于连续反应搅拌釜(CSTR)中和过程pH值控制的仿真试验,仿真结果表明了该方法的有效性。 A minimum variance control based on nonlinear Takagi-Sugeno fuzzy model is proposed in this paper. The stability of the control system is analyzed and a sufficient stabilization condition is presented. This method is used for control the pH of neutralization process in continuous stirred tank reactor(CSTR). Simulation shows that this new method is efficient.
作者 王永骥 孔明
出处 《自动化技术与应用》 2005年第7期1-2,13,共3页 Techniques of Automation and Applications
基金 国家自然科学基金(60274020) 河北省自然科学基金资助项目(602621)
关键词 T-S模糊模型 最小方差控制 稳定性 连续反应搅拌釜(CSTR) 随机控制 T-S fuzzy model Minimum variance control Stability CSTR Stochastic control
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参考文献3

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