Dissipativity-Based Output Feedback Control of Networked Sampled-Data Systems Under Actuator Failures and Consecutive DoS Attacks

This article investigates the problem of dissipativity-based output feedback control for networked sampled-data systems under actuator failures and consecutive denial-of-service (DoS) attacks. Two distinct sampling periods are considered, each governed by constant occurrence probabilities following a Bernoulli distribution. The communication channel from the sampler to the controller is vulnerable to malicious DoS attacks, with both the maximum number of consecutive occurrences and the attacking rate taken into account. On this basis, a mathematical model is built to characterize the interval between two sequential update instants at the controller side, whose randomness is captured by the probabilistic distributions of the stochastic sampling and consecutive attacks. By developing a sampled-data output feedback controller, an equivalent discrete-time closed-loop system is constructed. Then, two alternative control synthesis conditions are suggested for solving the controller, which can ensure the stochastic stability and strict dissipativity of the system. Finally, simulations are performed on two examples to illustrate the effectiveness of the proposed method.