Quantized filtering for T-S fuzzy networked systems with saturation nonlinearities: An output-dependent triggering method

This paper addresses the problem of H∞ filter design for T-S fuzzy systems with saturation nonlinearities. For the purpose of reducing network burden, an output-dependent triggering scheme and a quantizer are introduced at the same time. The output-dependent triggering scheme is applied to determine whether or not the current instant information should be transmitted to the quantizer. Saturation nonlinearities, as a common phenomenon in networked systems due to the physical or technological constraints, is also considered here. Then a filtering error model with aforementioned characteristics is established. By using Lyapunov functional approach and stochastic analysis techniques, some matrix inequality-based sufficient conditions for the existence of the fuzzy filter are obtained. Moreover, a co-design algorithm for solving the suitable filter and the event generator is derived. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed approach.