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基于T-S模糊模型非线性网络控制系统改进H_∞跟踪控制

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成果类型:
期刊论文
论文标题(英文):
Improved H-infinity tracking control for nonlinear networked control systems based on T-S fuzzy model
作者:
Xiao, Hui-Qin;He, Yong;Wu, Min;Xiao, Shen-Ping
通讯作者:
Xiao, H.-Q.(xiaohq_610@126.com)
作者机构:
[Xiao, Hui-Qin; Wu, Min; He, Yong] School of Information Science and Engineering, Central South University, Changsha Hunan 410083, China
[Xiao, Hui-Qin; Xiao, Shen-Ping] College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou Hunan 412008, China
语种:
中文
关键词:
非线性网络控制系统;T-S模糊模型;跟踪控制;输入时滞;线性矩阵不等式(LMI)
关键词(英文):
Input-delay - Linear matrix inequality (LMI) - Nonlinear networked control systems - Takagi Sugeno fuzzy models - Tracking control
期刊:
控制理论与应用
期刊(英文):
Kongzhi Lilun Yu Yingyong/Control Theory and Applications
ISSN:
1000-8152
年:
2012
卷:
29
期:
1
页码:
71-78
文献类别:
EI:Journal article (JA)
入藏号:
EI:20121114853257
基金类别:
国家自然科学基金资助项目(60974026); 国家博士点基金资助项目(200805330004); 国家杰出青年科学基金资助项目(61125301); 湖南省教育厅资助项目(10C0627);
机构署名:
本校为其他机构
院系归属:
电气与信息工程学院
摘要:
研究一类非线性网络控制系统改进H_∞跟踪控制问题,该类网络控制系统中非线性被控对象和被跟踪对象分别采用Takagi-Sugeno(T-S)模糊模型和线性稳定参考模型描述.首先通过综合考虑网络中的数据传输时滞和数据丢包影响,采用输入时滞法和并行分布补偿技术,建立基于零阶保持器刷新时刻的系统状态跟踪误差模型.然后利用改进的自由权矩阵方法,并结合Lyapunov直接法给出系统满足H_∞跟踪性能的充分条件以及模糊控制器的设计方法.最后仿真实例表明本文方法的有效性和相比已有方法的优越性.
摘要(英文):
The H-infinity tracking control problem is studied for a class of nonlinear networked control systems (NCSs). In NCSs, a Takagi-Sugeno fuzzy model is adopted to describe the nonlinear controlled plant, and the tracked plant is represented by a linear stable reference model. By using input-delay and parallel distributed compensation (PDC) techniques, we build a novel state tracking error model based on the system states at the updating instant of a zero-order holder in which both network-induced delay and data packet dropouts are considered. Furthermore, an improved weight-free matrix approach and the Lyapunov stability theory are employed to derive several sufficient criteria ensuring the prescribed H-infinity tracking performance of the nonlinear NCSs. Meanwhile, the fuzzy controller design method is also presented. Finally, a numerical example is given to demonstrate the usefulness and the advantages of the proposed scheme.

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