Hybrid adaptive extended state observer for event-triggered networked nonlinear systems subject to deception attacks and external disturbances

In this article, the estimation problem is investigated for a class of continuous-time networked nonlinear systems under both deception attacks and external disturbances. A novel adaptive extended state observer is adopted to estimate the states and disturbance under random deception attacks. The dynamic event-triggered mechanism (ETM) is adopted so as to save the communication resource. Meanwhile, the inter-sample output predictor is proposed to estimate the state between two consecutive triggering instants. The main purpose of the addressed problem is to design the adaptive gain parameters of the novel extended state observer such that the estimation error dynamics is mean-square exponentially bounded stable. Sufficient conditions are first established to ensure the existence of the desired adaptive extended state observer. In addition, it is proven that the Zeno behavior can be avoided when the dynamic ETM is utilized. Finally, a simulation example is provided to verify the effectiveness of the proposed design method.