Leader-follower consensus of multiagent systems via reset observer-based control approach

This paper considers leader-follower consensus of linear multiagent systems with unknown inputs. The proposed technical framework consists of two processes, that is, estimation and control. For the estimation process, we design a complementary sector region based on a novel reset variable. In this region, a class of distributed extended state observers that depends on the above variables is constructed, which completes the estimation of system states and unknown inputs, simultaneously. This reset strategy also guarantees that the system states are quickly estimated. For the control process, the distributed output feedback controller associated with the reset strategy is designed. The unknown input is also compensated under the reset strategy, which achieves the objective of consensus. Finally, effectiveness of the presented method is validated by an example.