Estimation of False Data Injection Attacks via Generalized Dynamic Observer

This article focuses on the development of a generalized dynamic observer structure, designed to estimate the behavior of an attack scheme known as False Data Injection, which utilizes Markovian distribution logic to affect the actuators of a cyber‐physical system. To demonstrate the detection effectiveness of the proposed scheme, a three‐tank interconnected system is used, modeled under its Takagi‐Sugeno representation. This approach enables detection of attacks, which is crucial for ensuring the design of controllers that guarantee the safety and integrity of cyber‐physical systems. In addition, it serves as a basis for the design of an observer‐based controller, providing a comprehensive and robust solution to address security challenges.