期刊文献+

T-S模糊控制系统的虚拟等价系统及稳定性判据 被引量:1

Virtual equivalent system and stability criteria for T-S model based fuzzy control systems
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摘要 针对未知确定性被控对象和未知非线性时变对象,通过构造虚拟等价系统的方法研究T--S模糊控制系统的稳定性.采用虚拟等价系统的目的在于降低原问题的难度,改进现有稳定性判据的保守性.分析结果表明,T--S模糊控制系统的稳定性主要取决于局部模型的精度、模糊规则的正确性以及局部控制器的镇定性. The stability of a T-S model based fuzzy control system for both the discrete,linear time-invariant object and the nonlinear time-varying object is analyzed with the help of constructing a related virtual equivalent system.The purpose of adopting the virtual equivalent system is to reduce the difficulty of analyzing the stability of the fuzzy control system and to improve the conditions of existing stability criteria.The results indicate that the stability of the fuzzy control system depends on the precision of local models,the effectiveness of fuzzy rules,and the stabilizing characteristic of each local controller.
出处 《北京科技大学学报》 EI CAS CSCD 北大核心 2012年第2期207-210,共4页 Journal of University of Science and Technology Beijing
基金 北京市重点学科建设项目资助(XK100080537)
关键词 控制系统 模糊控制 稳定性判据 等价系统 control systems fuzzy control stability criteria equivalent systems
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参考文献15

  • 1Takagi T, Sugeno M. Fuzzy identification of systems and its appli- cations to modeling and control. IEEE Trans Syst Man Cybern, 1985, 15(1): 116.
  • 2Feng G. A survey on analysis and design of model-based fuzzy control systems. IEEE Trans Fuzzy Syst, 2006, 14(5) : 676.
  • 3Tanaka K, Sugeno M. Stability analysis and design of fuzzy control systems. Fuzzy Sets Syst, 1992, 45(2): 135.
  • 4Cao S G, Rees N W, Feng G. Stability analysis and design for a class of continuous-time fuzzy control systems. Int J Control, 1996, 64(6) : 1069.
  • 5Cao S G, Rees N W, Feng G. H control of nonlinear continuous- time systems based on dynamical fuzzy models. Int J Syst Sci, 1996, 27(9) : 821.
  • 6Cao S G, Bees N W, Feng G complex control systems: Part matica, 1997, 33(6) : 1029.
  • 7Analysis and design for a class of II. Fuzzy controller design. Auto- Choi D J, Park P. H state-feedback controller design for dis- crete-time fuzzy systems using fuzzy weighting-dependent Lyapunov functions. IEEE Trans Fuzzy Syst, 2003, 11 (2) : 271.
  • 8Guerra T M, Vermeiren L. LMI-based relaxed nonquadratic stabi- lization conditions for nonlinear systems in the Takagi-Sugeno's form. Automatica, 2004, 40 (5) : 823.
  • 9Tanaka K, Hori T, Wang H O. A multiple Lyapunov function ap- proach to stabilization of fuzzy control systems. IEEE Trans Fuzzy Syst, 2003, 11(4) : 582.
  • 10Wang Y, Sun Z Q, Sun F C. Stability analysis and control of discrete-time fuzzy systems: a fuzzy Lyapunov function approach // Proceeding of 5th Asian Control Conference, Vol. 3. Mel- bourne, 2004:1855.

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  • 2Cheng Y H, Mierlo J V, Philippe L, et al. Test bench of hybrid electric vehicle with the super capacitor based energy storage// IEEE International Symposium on Industrial Electronics. Vigo, 2007 : 147.
  • 3Bouscayrol A. Different types of hardware-in-the-loop simulation for electric drives// IEEE International Symposium on Industrial Electronics. United Kingdom, 2008 : 2146.
  • 4Wong J H, Idris N R N, Anwari M, et al. A parallel energy-sha- ring control for fuel cell-battery-ultracapacitor hybrid vehicle // IEEE Energy Conversion Congress and Exposition ( ECCE). Phoe- nix, 2011:2923.
  • 5He H W, Xiong R, Zhao K, et al. Energy management strategy research on a hybrid power system by hardware-in-loop experi- ments. Appl Energy, 2013, 112:1311.
  • 6Erdine O, Vural B, Uzunoglu M. A wavelet-fuzzy logic based energy management strategy for a fuel cell/battery/ultra-capacitor hybrid vehicular power system. J Power Source', 2009, 194 (1) : 369.
  • 7Eren Y, Erdinc O, Gorgun H, et al. A fuzzy logic based super- visory controller for an FC/UC hybrid vehicular power system. lnt J Hydrogen Energy, 2009, 34 (20) : 8681.
  • 8Ferreira A A, Pomilio J A, Spiazzi G, et al. Energy management fuzzy logic supervisory for electric vehicle power supplies system. IEEE Tram Power Electron, 2008, 23( 1 ) : 107.
  • 9姜立标,吴斌,冯骁,杨彦哲.电动汽车动力性参数的仿真设计与试验验证[J].汽车工程,2011,33(12):1013-1017. 被引量:29
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