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New Absolute Stability Criteria for T-S Fuzzy Lurie Control Systems with Time-Delay and Nonlinearities

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Fuzzy Engineering and Operations Research

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 147))

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Abstract

In this paper, the problem of absolute stability for a new class of T-S fuzzy Lurie control systems with time-delay and nonlinearities is considered. By utilizing the Lyapunov stability theory and novel techniques, new Lyapunov functions are defined and a new delay-dependent absolute stability condition is derived. Finally, by using LMI Control Toolbox and Simulink toolbox in MATLAB, a numerical example is presented to illustrate feasibility and effectiveness of the proposed results.

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References

  1. Cao, J.W., Zhong, S.M., Hu, Y.Y.: Delay-dependent condition for absolute stability of Lurie control systems with multiple time delays and nonlinearities. J. Math. Anal. Appl. 338, 497–504 (2008)

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  2. Gao, J.F., Pan, H.P., Ji, X.F.: A new delay-dependent absolute stability criterion for Lurie systems with time-varying delay. Acta Automatica Sinica 36, 845–850 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  3. Takagi, T., Sugeno, M.: Fuzzy identification of systems and its application to modeling and control. IEEE Trans. Systems Man Cybernet. 15, 116–132 (1985)

    Article  MATH  Google Scholar 

  4. Sheng, L., Gao, M., Yang, H.Z.: Delay-dependent robust stability for uncertain stochastic fuzzy Hopfield neural networks with time-varying delays. Fuzzy Sets and Systems 160, 3503–3517 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  5. Li, Y.M., Xu, S.Y., Zhang, B.Y., Chu, Y.M.: Robust stabilization and H  ∞  control for uncertain fuzzy neutral systems with mixed time delays. Fuzzy Sets and Systems 159, 2730–2748 (2008)

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Correspondence to Xiao-xu Xia .

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© 2012 Springer-Verlag Berlin Heidelberg

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Xia, Xx., Luo, Yj., Wang, Y. (2012). New Absolute Stability Criteria for T-S Fuzzy Lurie Control Systems with Time-Delay and Nonlinearities. In: Cao, BY., Xie, XJ. (eds) Fuzzy Engineering and Operations Research. Advances in Intelligent and Soft Computing, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28592-9_14

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  • DOI: https://doi.org/10.1007/978-3-642-28592-9_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28591-2

  • Online ISBN: 978-3-642-28592-9

  • eBook Packages: EngineeringEngineering (R0)

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