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非线性系统的模糊变结构控制及应用 被引量:4

Fuzzy Variable Structure Control for Nonlinear Systems and Its Applications
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摘要 采用T S模糊动态模型逼近非线性系统 ,将非线性系统模糊化为局部线性模型。用Lyapunov稳定性理论设计出确保T S模糊模型全局渐近稳定的变结构控制器。应用到Lorenz和Rossler两类混沌系统的稳定控制中 ,仿真验证了方案的有效性 ,不需要改变被控混沌系统的内部结构 ,且具有良好的稳定性。模糊控制器结构简单 ,规则少 。 Through approximation with a T-S fuzzy dynamical model, the nonlinear system is fuzzified into a local linear model. A variable structure controller is designed by using Lyapunov theory to assure the stability of the global T-S fuzzy model. It is used in stability controll of two chaotic systems, i.e. Lorenz chaotic system and Rossler chaotic system and the effectiveness of the scheme is proven through simulation. A good stability is achieved, without changing the inner structure of the system being controlled. The fuzzy controller is simple, practicable and involves fewer rules.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2002年第5期38-40,共3页 Systems Engineering and Electronics
关键词 非线性系统 模糊变结构控制 混沌 Nonlinear system Fuzzy variable structure Chaos
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参考文献2

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  • 2田宏奇著..滑模控制理论及其应用[M].武汉:武汉出版社,1995:357.

同被引文献34

  • 1常玲芳.一类非线性系统的模糊变结构控制方案[J].系统工程与电子技术,2004,26(10):1462-1463. 被引量:2
  • 2ANTSAKLIS P, BAILLIEUL J. Special issue on net- worked control systems[J]. IEEE Transactions on Automatic Control, 2004, 49(9): 1424-1 603. 被引量:1
  • 3BUSHNELL L G. The special section on networks and control[J]. IEEE Control System Magazine, 2001, 21(1): 122-185. 被引量:1
  • 4ZHANG W, BRANICKY M S, PHILIPS S M. Stabil- ity of networked control systems[J]. IEEE Control System Magazine 2001 21(1)" 84-99. 被引量:1
  • 5YUE Dong, HAN Qian-long, LAM J. Network-based robust Ho control of systems with uncertainty[J]. Automatica, 2005, 41(6): 999-100 7. 被引量:1
  • 6Wu Jun CHEN Tao. Design of networked control systems with packet dropoutsIJ]. IEEE Trans Auto- matic Controls 2007 52(7): 1 314-1319. 被引量:1
  • 7Yu Min, WANG Liang, CHU Tong. Sampled-data stabilization of networked control systems with non- linearity[J]. IEEE Proc Control Theory Appl 2005, 152(6): 609-614. 被引量:1
  • 8BATTILOTTI S. Control over a communication chan- nel with random noise and delays[J]. Automatic, 2008, 41(2): 348-360. 被引量:1
  • 9TAKAGI T, SUGENO M. Fuzzy identification of sys- tems and its application to modeling and control[J]. IEEE Trans on Systems, Man and Cybernetics, 1985, 15(1): 116-132. 被引量:1
  • 10LIN Y C, Lo J C. Exponential stability of filtering problems for delay fuzzy systemsIC/OL]// Proceedings of the 2004 IEEE International Confer- ence on Networking, Sensing and Control, Taipei, March 21-23, 200412011-12-201. http://ieeexplore. ieee.org/stamp/stamp.jsp?tp=&arnumber= 1297071. 被引量:1

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