Adaptive Formation Control With Limited Information for Uncertain Nonlinear Multi-Agent Systems
Xiaoyu Xu, Yungang Liu · IEEE Transactions on Automation Science and Engineering · 2025
The paper studies the distributed adaptive formation control in the setting of limited information transmitted between agents. The limited information, due to nonzero-kernel communication weight matrices between agents, has benefits in information security and privacy preserving, although as incomplete information, it challenges the formation control. Particularly, the multi-agent systems allow heterogeneous nonlinearities and serious uncertainties, making the formation control more difficult to achieve. In the paper, a fully-distributed adaptive control scheme is presented under appropriate conditions on the communication network, by incorporating two dynamic compensators and an auxiliary dynamic variable. The two compensators are employed to separately counteract the serious uncertainties and unavailable global information of the network resulting from unmatched states and weights. The auxiliary dynamic variable is introduced in the coordinate transformation to ensure the boundedness of the control, which cannot be derived by the traditional coordinate transformation. Two numerical examples are provided to show the effectiveness of the developed approach.