Self-Tuning Fuzzy Robust Control for Buildings with Sliding Bearing Isolation Under Seismic Excitation | Zendy

Ken Yeh | Zendy; Chun-Chieh Chien | Zendy; ChengWu Chen | Zendy; Han-Hsi Liang | Zendy

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Self-Tuning Fuzzy Robust Control for Buildings with Sliding Bearing Isolation Under Seismic Excitation

Author(s) -

Ken Yeh,

Chun-Chieh Chien,

ChengWu Chen,

Han-Hsi Liang

Publication year - 2005

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2005.p0100

Subject(s) - robustness (evolution) , control theory (sociology) , computer science , fuzzy logic , fuzzy control system , robust control , sliding mode control , lyapunov function , lyapunov stability , control system , control (management) , artificial intelligence , nonlinear system , engineering , electrical engineering , biochemistry , chemistry , physics , quantum mechanics , gene

The purpose of this paper is to apply self-tuning fuzzy robust control for structurally controlling buildings with sliding bearing isolation. Combining fuzzy control and robust control such as sliding mode control reduces fuzzy rule bases complexity and ensures stability and robustness. Lyapunov theory is used to develop a self-tuning law. Stiffness uncertainty and time delay is utilized to demonstrate the robustness of this proposed algorithm. The effectiveness of this algorithm is demonstrated by simulation results for the Taiwan Chi Chi earthquake in 1999. Simulations show that self-tuning fuzzy robust control achieves satisfactory results in the application of structural control for buildings with sliding bearing isolators.

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