Positivity-Preserving Consensus Control of Multiagent Systems With Input Nonlinearities
研究了一类具有输入非线性的正多智能体系统的一致性问题，通过分析微分方程模型推导出保正条件，并设计分布式状态反馈控制协议实现一致性，同时保持系统状态的非负性。
This article introduces an innovative approach to tackle the consensus issue for positive multiagent systems (MASs) with input nonlinearities. By analyzing a differential equation model of MASs with sector-bounded nonlinearity, positivity conditions are derived. Furthermore, a distributed state-feedback control protocol is applied to achieve consensus and simultaneously to preserve positivity. An iterative algorithm is used to compute a consensus controller gain. The saturation nonlinearity and its approximated form are also considered. Finally, the effectiveness of proposed method is verified through numerical examples. The findings of this study can potentially contribute to developing control strategies for MASs with nonlinear input dynamics.