Quantized stabilization of networked T-S fuzzy singular systems

In this paper, the state-feedback control problem is considered for a class of nonlinear singular systems involving in signal quantization, data packet dropout and state delays. The nonlinear singular system is described by a T-S fuzzy model. The random packet loss is modeled as a Bernoulli process and the quantized measurement signals are dealt with by utilizing the sector bound method. By using the Lyapunov theory, a controller design approach is proposed to guarantee the closed-loop system to be regular, causal and stable. Numerical example is given to illustrate the effectiveness of the proposed method.