No abstract

No abstract

No abstract

This article concentrates on the sampled-data secure bipartite consensus problem for a class of nonlinear multiagent systems under intermittent denial-of-service attacks. The network communication channels are destroyed when the attacks occur, which causes all the system states to be unavailable. A novel distributed sampled-data output feedback control protocol is developed by using the discontinuous sensor data. It is proved by the Lyapunov stability analysis that the considered nonlinear multiagent systems can achieve bipartite consensus exponentially in light of the designed control protocol. Then, the control algorithm is extended to systems with both state and input delay. Finally, a simulation example is presented to verify the effectiveness of the proposed control protocol.

This article concentrates on the global regulation problem for a class of large-scale nonlinear systems with unknown growth rate and unknown external disturbances. In contrast to closely related works, the highlight of this article is that a novel decentralized output-feedback switching control method is proposed for the first time to offset the serious uncertainties. By integrating logic-based switching technique and gain scaling technique, this method can instantly adjust the controller parameters (that is, the scaling gain can be tuned online in a piecewise constant manner), and thus has strong adaptive capability as well as disturbance tolerance. Moreover, the decentralized output-feedback switching controller designed by such the method has a concise linear-like form and low complexity. It is shown that the objective of global regulation is finally achieved after a finite number of switching moments. Finally, two examples, including an engineering feedback control system design example, are given to verify the effectiveness of the proposed control method.