Stabilization of T-S Fuzzy Nonlinear Systems by Intermittent Control

As an extremely significant class of system, the stability analysis problem of nonlinear systems has always been a research hotspot. This paper studies the intermittent control problem of nonlinear systems, and represents the system as a Takagi Sugeno (T-S) fuzzy model system. In order to stabilize the nonlinear systems, the intermittent control with variable switching rate control strategy is put out. In the proposed method, the sequence of switching rate is both variable and monotonically diminishing. In addition, this method can also be used to estimate the range of control gain K. Finally, numerical simulation outcomes validate the method’s viability and efficiency.