Estimation for T-S Fuzzy CPSs With State Delay via Reduced-Order Observer

This brief investigates the attack estimation and state reconstruction problem for T-S fuzzy cyber-physical systems with state delay. By augmenting the original state and sensor attacks into a new form, a reduced-order observer is designed to realize the reconstruction of this new state. By adopting the double integral term into the Lyapunov-Krasovskii functional and the delay-dependent results are obtained for the observer design. The method in this brief can accurately estimate the state and sensor attacks simultaneously without additional algorithms. Compared with the previous method, the time delay information is fully utilized and the conservation is greatly reduced. Finally, the correctness of the results is verified by simulation.