| 改进的T-S模糊模型建模方法及其应用 |
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| 引用本文： | 高哲,廖晓钟,沙德尚.改进的T-S模糊模型建模方法及其应用[J].北京理工大学学报,2010(S1):103-106. |
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| 作者姓名： | 高哲 廖晓钟 沙德尚 |
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| 作者单位： | 北京理工大学 自动化学院,北京 100081;复杂系统智能控制与决策教育部重点实验室,北京 100081;北京理工大学 自动化学院,北京 100081;复杂系统智能控制与决策教育部重点实验室,北京 100081;北京理工大学 自动化学院,北京 100081;复杂系统智能控制与决策教育部重点实验室,北京 100081 |
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| 基金项目： | 国家自然科学基金资助项目(50807005) |
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| 摘 要： | 针对一般的仿射非线性系统,提出了一种改进的建立T-S模糊模型的方法. 使建立的模糊系统与原非线性系统具有相同的响应特性,避免了平衡点线性化产生的系统误差的不利影响,同时也适用于含有多个非线性项的系统. 将这种建模方法应用到GMAW系统,建立了改进基于T-S模糊模型GMAW系统,并且建立的模糊系统和原系统具有相同的响应特性. 仿真结果证明了该方法的有效性.
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| 关 键 词： | T-S模糊模型 建模方法 GMAW系统 |
| 收稿时间： | 2010/3/30 0:00:00 |
A Novel Modeling Method of T-S Fuzzy System and Application |
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| GAO Zhe,LIAO Xiao-zhong and SHA De-shang.A Novel Modeling Method of T-S Fuzzy System and Application[J].Journal of Beijing Institute of Technology(Natural Science Edition),2010(S1):103-106. |
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| Authors: | GAO Zhe LIAO Xiao-zhong and SHA De-shang |
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| Institution: | School of Automation, Beijing Institute of Technology, Beijing 100081, China;Key Laboratory of Complex System Intelligent Control and Decision, Ministry of Education, Beijing 100081, China;School of Automation, Beijing Institute of Technology, Beijing 100081, China;Key Laboratory of Complex System Intelligent Control and Decision, Ministry of Education, Beijing 100081, China;School of Automation, Beijing Institute of Technology, Beijing 100081, China;Key Laboratory of Complex System Intelligent Control and Decision, Ministry of Education, Beijing 100081, China |
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| Abstract: | A novel modeling method of T-S fuzzy system for an affine nonlinear system is proposed. Based on this method, the responses of T-S fuzzy system is the same as the original nonlinear, the modeling error is avoided compared with the linearization method around the equilibrium points, and this method can be applied the nonlinear system contained the multiple nonlinear terms. T-S fuzzy model of GMAW system is established, the response characteristics of the T-S fuzzy system are not changed compared with the nonlinear GMAW system. The simulation result proves the validity of this method. |
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| Keywords: | T-S fuzzy model modeling method GMAW system |
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