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| 一类时滞系统的模糊跟踪控制及其仿真 | |
| 引用本文： | 邓长辉,王福利,王姝,桑海峰,陆阳.一类时滞系统的模糊跟踪控制及其仿真[J].系统仿真学报,2006,18(1):136-139. |
| 作者姓名： | 邓长辉 王福利 王姝 桑海峰 陆阳 |
| 作者单位： | 1. 东北大学教育部暨辽宁省流程工业综合自动化重点实验室,沈阳,110004;大连水产学院信息工程学院,大连,116023 2. 东北大学教育部暨辽宁省流程工业综合自动化重点实验室,沈阳,110004 3. 北京空中信通信息技术有限公司,北京,100044 |
| 基金项目： | 科技部科研项目;中国科学院资助项目 |
| 摘 要： | 研究了一种基于模糊T-S模型的非线性时滞系统模糊跟踪控制问题。首先利用模糊T-S模型对不确定非线性系统进行模糊建模,然后在此基础上研究了模糊系统在状态可测与不可测的情况下的模糊跟踪问题。控制器的设计避开了复杂的精确反馈线性化与自适应方法。采用本方法,可将控制器的设计问题转化为求解线性矩阵不等式问题,再利用凸优化技术可将其有效地解决。因此该方法既简单又实用,并且通过仿真实例说明了它的有效性与正确性。 |
| 关 键 词： | 模糊跟踪控制 仿真 性能指标 模糊观测器 |
| 文章编号： | 1004-731X（2006）01-0136-04 |
| 收稿时间： | 2004-11-29 |
| 修稿时间： | 2005-09-28 |
Fuzzy Tracking Control for Time-delay Systems and Its Simulation |
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| DENG Chang-hui,WANG Fu-li,WANG Shu,SANG Hai-feng,LU Yang.Fuzzy Tracking Control for Time-delay Systems and Its Simulation[J].Journal of System Simulation,2006,18(1):136-139. | |
| Authors: | DENG Chang-hui WANG Fu-li WANG Shu SANG Hai-feng LU Yang |
| Institution: | 1.Key Laboratory of Process Industry Automation, Ministry of Education, Northeastern University, Shenyang 110004, China; 2,School of Information Engineering Dalian Fisheries University, Dalian 116023, China; 3.Beijing Kongzhong Xintong InformationTeehnology Co.Ltd, Beijing, 100044, China |
| Abstract: | A fuzzy tracking control technique for nonlinear time-delay system based on fuzzy T-S model was developed.Fuzzy T-S model with parametric uncertainties was employed to represent a nonlinear time-delay system.Based on fuzzy T-S model,fuzzy tracking control was researched on condition that the system is measurable and not,respectively.The advantage of proposed tracking control design is that only a simple fuzzy controller is used in approach without feedback liberalization technique and complicated adaptive scheme.By the proposed method,the controller design problem can be converted into a linear matrix inequality problem(LMI).The LMI can be solved very efficiently using convex optimization techniques.Simulation example is given to testify the validity and efficiency of the proposed method. |
| Keywords: | LMI |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |