作者: Yeesock Kim , Stefan Hurlebaus , Reza Langari
DOI: 10.1007/978-1-84882-548-2_1
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摘要: In this chapter, a new semiactive nonlinear fuzzy control (SNFC) system design framework is proposed through integration of set Lyapunov-based state feedback controllers and Kalman filters. A multi-input multi-output (MIMO) autoregressive exogenous (ARX) Takagi-Sugeno (T-S) model constructed out linear dynamic models. Subsequently, multiple Lyapunovbased are formulated in terms matrix inequalities (LMIs) such that the resulting globally asymptotically stable. The integrated with filters converting algorithm using T-S interpolation method to construct output controller. To demonstrate effectiveness framework, scheme applied three- twenty-story building employing hysteretic devices. It demonstrated from numerical simulations approach effective controlling responses seismically excited large civil structures equippedwith magnetorheological (MR) dampers: both displacement acceleration buildings subjected 1940 El-Centro earthquake disturbance dramatically reduced when applied.