| 引用本文: | 杜贞斌,胡寿松.一类复杂非线性系统的模糊控制[J].控制理论与应用,2008,25(4):780~782.[点击复制] |
| DU Zhen-bin,HU Shou-song.Fuzzy control for a class of complex nonlinear systems[J].Control Theory and Technology,2008,25(4):780~782.[点击复制] |
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| 一类复杂非线性系统的模糊控制 |
| Fuzzy control for a class of complex nonlinear systems |
| 摘要点击 1672 全文点击 1101 投稿时间：2006-05-08 修订日期：2007-04-17 |
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| DOI编号 10.7641/j.issn.1000-8152.2008.4.037 |
| 2008,25(4):780-782 |
| 中文关键词 模糊T–S模型 自适应模糊逻辑系统 非线性系统 不确定性 时延 跟踪控制 |
| 英文关键词 fuzzy T–S model adaptive fuzzy logic systems nonlinear systems uncertainty time-delay tracking control |
| 基金项目 国家自然科学基金资助项目(60234010); 中国航空科学基金资助项目(05E52031); 高校博士基金资助项目(JS06B23). |
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| 中文摘要 |
| 针对一类复杂非线性系统, 把模糊T–S模型和自适应模糊逻辑系统结合起来, 提出了一种跟踪控制方案. 首先, 应用模糊T–S模型对非线性系统建模, 设计观测器用来观测系统状态: 其次, 应用基于权值、中心和宽度3个参数可调节的自适应时延模糊逻辑系统补偿器来消除建模误差和不确定性. 文中证明了闭环系统满足期望的跟踪性能.示例仿真结果表明了该方案的有效性. |
| 英文摘要 |
| Combining fuzzy Takagi-Sugeno (T–S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex nonlinear systems. Firstly, the fuzzy T–S model is used to approximate to the nonlinear systems, and an observer is designed to generate the system states. Secondly, the modeling errors and the uncertainty are eliminated by a compensator based on the adaptive time-delay fuzzy logic systems with three adjustable parameters: weights, centers and widths. It is proved that the closed loop system satisfies the desired tracking requirements. The simulation results demonstrate the efficacy of thee control scheme. |