Encryption-Decryption-Based Bounded Filtering for 2-D Systems under Dynamic Event-Triggered Mechanism

This paper investigates the bounded filtering problem for two-dimensional (2-D) discrete systems with encryption-decryption mechanism (EDM) and dynamic event-triggered mechanism (ETM). Firstly, considering the potential information leakage, a novel EDM is designed for 2-D systems based on the quantization-based encoding-decoding mechanism. In addition, the dynamic ETM with bidirectional evolutionary characteristics is proposed to alleviate the computational and communication burdens. In such a framework, the filtering error systems (FESs) at the eavesdropper side and the user side are obtained, respectively. Subsequently, the encryption parameters are devised such that the filtering error at the eavesdropper side diverges. Additionally, the boundedness criteria are established to ensure that the client-side FESs are bounded in terms of Lyapunov stability analysis approach. Finally, it is demonstrated that the proposed bounded filtering algorithm is valid for 2-D systems in several types of industrial environments.