Ultimately Bounded Filtering for Nonlinear Systems Subject to Integral-Type Event-Triggered Mechanism and Dynamic Quantization

This article studies the ultimately bounded filtering issue for nonlinear systems subject to the integral-type event-triggered mechanism (ITETM) and the dynamic quantization scheme (DQS). For the purpose of saving energy and bandwidth resources, an ITETM is adopted to govern the signal transmissions from the system to the filter, and the triggered signal is then quantized by a dynamic quantizer. By resorting to the Lyapunov-like functional method, sufficient criteria are developed to ensure the existence of the desired estimator parameter. Moreover, by means of the linear matrix inequality technique, the explicit expression of the filter parameter is obtained. Finally, the correctness of the developed filtering scheme is verified via simulation results.