In this brief, we investigate the consensus tracking control problem for first-order nonlinear multi-agent systems with unknown system parameters, external disturbances and directed communication graph. The system dynamics of each agent is not required to satisfy Lipschitz condition. Besides, the desired trajectory is not of linearly parameterized form with basis functions known by all the agents. In this setting, how to design a fully distributed adaptive control scheme to guarantee consensus tracking is a difficult issue since non-symmetric Laplacian matrix brings difficulties of designing fully distributed parameter update laws. To solve this issue, the design idea of transforming the original first-order multi-agent systems into augmented second-order multi-agent systems is firstly presented. Based on adaptive backstepping technique, a novel fully distributed consensus tracking control scheme is then proposed. Finally, the effectiveness of the proposed control scheme is verified in simulation.

The attitude synchronization control problem of multiple uncertain spacecraft with event-triggered communication is an interesting research topic. However, the existing results are difficult to ensure the positive minimum inter-event times (MIETs) while achieving asymptotic convergence performance. Besides, the drawback that the controllers of the spacecraft suffer from chattering may exist, due to the transmitted discontinuous neighbors' states. To overcome the difficulty and drawback, two novel distributed adaptive control strategies are presented under event-triggered communication condition. Specifically, we first consider the attitude synchronization convergence. To estimate the final synchronization value of the attitude while avoiding the undesirable chattering phenomenon of the controllers, a distributed attitude filter with event-triggered state transmission is presented for each spacecraft, which can generate a continuous reference signal for each spacecraft. To ensure the positive MIETs, a novel triggering condition is designed, by resorting to a clock-like variable. Based on the attitude filter and triggering condition, a distributed adaptive attitude synchronization control scheme is presented.Then, we further generalize the design idea to consider the attitude synchronization tracking of a stationary leader, where a distributed event-triggered adaptive attitude tracking control scheme is proposed. Finally, simulation results are provided to validate the effectiveness of the proposed control strategies.

Despite recent advances in source detection, accurate and efficient detection in incomplete networks remains a significant challenge. Current methods, which typically rely on the entire network structure, are limited when the acquired network is structurally incomplete due to the data acquisition limits in practice, and they also incur substantial computational overhead when applied to large-scale networks. Therefore, we propose an efficient approach for source detection in incomplete networks via Redundancy-Guided sensing and Anchor-Bounded inference (RGAB). To address the bias introduced by missing edges, RGAB develops a redundant coverage metric for sensor deployment and iteratively deploys sensors based on a likelihood score that integrates coverage capability and redundancy contribution of nodes. Furthermore, to mitigate the computational burden of detection, this approach introduces two anchor sensors and restricts the candidate region based on the radial circle of anchors. Comprehensive evaluations conducted on diverse benchmark datasets confirm RGAB's superior performance over baselines in source detection in incomplete networks.