Takagi-Sugeno fuzzy-model-based control of hyperchaotic Chen system with norm-bounded uncertainties

被引：5
作者：
Huang, X. [1 ]
Cao, J. [2 ]
Li, Y. [1 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Elect & Informat Engn, Qingdao 266510, Peoples R China
[2] Southeast Univ, Dept Math, Nanjing, Peoples R China
来源：
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING | 2010年 / 224卷 / I3期
基金：
中国国家自然科学基金;
关键词：
Hyperchaotic Chen system; T-S fuzzy model; uncertainty; CHAOTIC SYSTEMS; ADAPTIVE SYNCHRONIZATION; IMPULSIVE CONTROL; FEEDBACK-CONTROL; PARAMETERS; STABILITY; DESIGN;
D O I：
10.1243/09596518JSCE836
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, control of hyperchaotic Chen system is investigated under the existence of norm-bounded parameter uncertainties. A Takagi-Sugeno fuzzy model is employed to represent the hyperchaotic Chen system and the parallel distributed compensation technique is applied to design the time-delayed fuzzy state feedback controller. Based on Lyapunov stability theory, a sufficient delay-dependent or delay-independent stability criterion is given in term of linear matrix inequalities (LMIs) to guarantee the stability of the closed-loop system. The two sets of feedback gain matrices can be simultaneously obtained by solving a group of LMIs. Numerical simulation results demonstrate the effectiveness of the proposed method.
引用
收藏
页码：223 / 234
页数：12
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