Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
Fuzzy logic: intelligence, control, and information
Fuzzy logic: intelligence, control, and information
An LMI-based H∞ fuzzy control system design with TS framework
Information Sciences: an International Journal - Special issue analytical theory of fuzzy control with applications
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This paper proposes a systematic design framework for vibration control of seismically excited civil structures employing magnetorheological (MR) dampers. The framework consists of nonlinear system identification and semiactive nonlinear control system: (1) a multi-input, multi-output (MIMO) autoregressive exogenous (ARX) input model-based Takagi-Sugeno (TS) fuzzy identifier is applied to a large building structure equipped with highly nonlinear hysteretic MR dampers subjected to earthquake disturbances (2) Based on the identified building-MR damper system model, a set of Lyapunov-based controllers are designed such that the building-MR damper system is globally asymptotically stable and its performance on transient responses is also satisfied. To demonstrate the performance of the proposed design framework, a twenty-story building structure employing multiple MR dampers is studied. It is shown from the simulation that the proposed control system design framework is effective to mitigate seismically excited responses of a large building-MR damper system.