Design of Event-Triggered Remote State Estimator for Cyber-Physical Systems with Compromised Sensors

• DOI: 10.2139/ssrn.4386164
• Publication Date: 2023-03-12T12:18:31Z
• Authors: Muhammad Ali; Ghulam Mustafa; Owais Khan; Nouman Ashraf; Abdul Qayyum Khan; Muhammad Abid
• Keywords: Cyber-physical system

For cyber-physical systems, event-triggered communication offers an attractive approach to reduce data transmission between devices with limited energy or computational resources; however, their performance under may deteriorate if there are cyber-attacks. We present design a secure state estimator for systems when malicious adversary attacks some of the sensors. By exploiting analytical redundancy model, we use bank Kalman filters, operating on subsets measurement data, identify attack-free sensors and approximate state. Since filter is minimum mean-squared error innovation sequence follows Gaussian distribution. provide detailed proof that proposed maintains Gaussianity innovation. In end, simulation example IEEE 14-bus power network compares designed conventional demonstrate efficacy suggested approach.