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The stability of an oceanic structure with T–S fuzzy models

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  • Chen, Cheng-Wu

Abstract

In this study we construct and derive analytical solutions for a mathematical model of an oceanic environment in which wave-induced flow fields cause structural surge motion after which a fuzzy control technique is developed to alleviate structural vibration. Specifically the Takagi–Sugeno (T–S) fuzzy model is employed to approximate the oceanic structure and a parallel-distributed-compensation (PDC) scheme is utilized in a control procedure designed to reduce the structural response. All local state feedback controllers are integrated to construct a global fuzzy logic controller. The Lyapunov method is used to achieve structural stability. The interaction between the wave motion and the structural response is explained using the separation of variables method. The surge motion is related to the characteristics of the wave and the structure. A parametric approach is utilized to show these effects. Other parameters remain constant. In an oceanic structural system, platform migration is often caused by the wave force. The stability of an oceanic structure can be proven theoretically based on stability analysis. The decay of the displacement and velocity due to the use of the proposed fuzzy controllers is demonstrated by a numerical simulation.

Suggested Citation

  • Chen, Cheng-Wu, 2009. "The stability of an oceanic structure with T–S fuzzy models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(2), pages 402-426.
    • Handle: RePEc:eee:matcom:v:80:y:2009:i:2:p:402-426
    DOI: 10.1016/j.matcom.2009.08.001
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    1. Chen, C.W. & Chiang, W.L. & Hsiao, F.H., 2004. "Stability analysis of T–S fuzzy models for nonlinear multiple time-delay interconnected systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 66(6), pages 523-537.
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    1. Zhao, Min & Wang, Xitao & Yu, Hengguo & Zhu, Jun, 2012. "Dynamics of an ecological model with impulsive control strategy and distributed time delay," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(8), pages 1432-1444.

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