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基于T-S模型的Chua混沌系统同步 被引量:1

Synchronization of Chua chaotic system based on T-S model
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摘要 研究了Chua混沌系统的同步问题.采用T S模糊动态模型描述Chua混沌系统,用Lyapunov稳定性理论设计出全局渐近稳定的模糊变结构同步控制器.仿真验证了方案的有效性,模糊控制器结构简单,规则少,有实用价值. The synchronization problem of Chua chaotic system is studied. Chua chaotic system is described by TS fuzzy dynamical model. A fuzzy variable structure synchronization controller that insures the global asymptotically stability of TS fuzzy model is designed based on Lyapunov theory. The effectiveness of the scheme is tested by simulation. The fuzzy controller is simple, and needs few rules. It is worth being applied.
作者 吴忠强
出处 《系统工程学报》 CSCD 2003年第4期369-372,共4页 Journal of Systems Engineering
关键词 同步 T-S模型 模糊变结构 混沌通信 Chua混沌系统 Chua chaotic system nonlinear fuzzy variable structure
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参考文献6

  • 1李翔,陈增强,袁著祉.神经网络结构的递归T-S模糊模型[J].系统工程学报,2001,16(4):268-274. 被引量:10
  • 2Pecora L M, Carroll T L. Synchronization in chaotic system[J]. Phys. Rev. Lett., 1990, 64:821--824.
  • 3Takagi T, Sugeno M. Fuzzy identification of systems and its application to modeling and control[J]. IEEE Trans. Syst., Man, Cybem., 1985, 15(1): 116--132.
  • 4Tanaka T, Sugeno M. Stability analysis and design of fuzzy control systems[J]. Fuzzy Sets and Systems, 1992, 45:135--156.
  • 5Chua L O, Komuro M, Matsumoto T. The double scroll family[J]. IEEE Trans. Circuit Syst., 1986, 33:1072--1118.
  • 6Young H J, Leang S S, Guanrong C. Hybrid state space fuzzy model-based controller with dual-rate sampling for digital control of chaotic systems[J]. IEEE transactions on fuzzy systems, 1999, 7(4): 394--407.

二级参考文献12

  • 1李翔 陈增强 等.基于T-S模型的模型神经网络的广义预测控制.WCICA’2000(第三届全球智通控制与自动化大会)论文集,00EX393[M].中国合肥:中国科学技术大学,2000.885-889.
  • 2Li X,Appl Math J Chin Univ,2000年,15卷,3期,332页
  • 3李翔,WCICA'2 0 0 0,2000年,885页
  • 4Zhang Yi,Proceedings of 14th IFAC:A neuro fuzzy network structure for nonlinear system modeling,1999年,97页
  • 5李翔,南开大学学报,1999年,32卷,2期,51页
  • 6孙增圻,智能控制理论与技术,1997年
  • 7Pham D T,Int J Syst Sci,1996年,27卷,2期,221页
  • 8Ku C C,IEEE Trans Neural Networks,1995年,6卷,1期,144页
  • 9王正欧,林晨.一种前向神经网络快速学习算法及其在系统辨识中的应用[J].自动化学报,1997,23(6):728-735. 被引量:19
  • 10程启明.T-S模型的模糊神经网络控制器及应用研究[J].电路与系统学报,1999,4(1):74-78. 被引量:5

共引文献9

同被引文献11

  • 1吴忠强,李杰,高美静.不确定离散时滞模糊系统的保性能控制[J].模糊系统与数学,2004,18(3):95-101. 被引量:8
  • 2冯川,孙增圻,孙富春.机械手动态T-S神经模糊H∞控制器设计[J].清华大学学报(自然科学版),2005,45(1):73-76. 被引量:2
  • 3Takagi T, Sugeno M. Stability analysis and design of fuzzy control systems[J]. Fuzzy Sets and Systems, 1992, 45(2): 135--156.
  • 4Tong S C, Li H H. Observer-based robust fuzzy control of nonlinear systems with parametric uncertainties [ J ]. Fuzzy Sets and Systems, 2002, 131(2) : 165--184.
  • 5Leung F H, Lam H K, Tam P K. Design of fuzzy controllers for uncertain nonlinear systems using stability and robustness analyses[J]. Systems & Control Letters, 1998, 35(4) : 237--243.
  • 6Takagi T, Sugeno M. Fuzzy identification of systems and its applications to modeling and control[J]. IEEE Transactions on Systems,Man,and Cybernetics, 1985, 15(1): 116--132.
  • 7Wu H N, Cai K Y. H2 guaranteed cost fuzzy control for uncertain nonlinear systems via linear matrix inequalities [ J ]. Fuzzy Sets and System, 2004, 148(3) : 411-429.
  • 8Kogan M M. Solution to the inverse problem of minimax control and worst case disturbance for linear continuous-time systems [J]. IEEE Trans. on Autom. Control, 1998, 43(5) : 670---674.
  • 9Kogan M M. Solution to the inverse problem of minimax control and minimax robust control[ J]. Journal of Marketing Theory & Practice, 1998, 7(3) : 87---97.
  • 10Myung Y, Valery U, Ian P. On the worst-case disturbance of minimax optimal control[ J ]. Automatica, 2005, 41 (5) : 847--855.

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