Quantized H ∞ filtering for networked systems with stochastic cyber attacks: A dynamic event-triggered scheme

This paper is concerned with the dynamic event-triggered H_∞ filtering for networked systems with stochastic cyber attacks and quantization. First, a new dynamic event-triggered scheme is employed to save limited system resources by using a new triggering error, which includes the conventional one. Second, the filtering error system is formulated under the dynamic event-triggered scheme, quantization and stochastic cyber attacks in a unified framework, and independent Bernoulli distributed variables are used to describe the randomly occurring cyber attacks. Third, a new sufficient condition is established to guarantee the filtering error system is mean-square asymptotically stable and achieves a prescribed H_∞ performance. Under the condition, a new filter design method is given by applying a reversible linear transformation. Finally, a mechanical system with two masses and two springs is given to demonstrate the proposed method is more effective.