Distributed \(H_{\infty }\) Fusion Filtering for Multi-Sensor Network Systems with FDI Attack and Sensor Saturation

The distributed \({H_\infty }\) fusion filtering of multi-sensor network systems by False Data Injection (FDI) attack in the presence of sensor saturation is investigated. Firstly, a system model is designed to set up a discrete-time multi-sensor network system, and the distributed \({H_\infty }\) fusion filtering is designed based on the local filtering parameters by splicing real matrix inequalities using functions, optimizing the filtering design and parameters, and making the filtering exhibit exponential stability in the mean square sense. The experimental simulations validate, the designed distributed \({H_\infty }\) fusion filtering for wireless sensor networks designed in this paper has lower computational complexity, more obvious optimisation and better system stability than the traditional fusion filtering.