海南师范大学学报（自然科学版）2025，Vol.38Issue(2)：228-237,10.DOI:10.12051/j.issn.1674-4942.2025.02.014
城市水污染的鲁棒自适应协同监控
Robust Adaptive Collaborative Monitoring of Urban Water Pollution
摘要
Abstract
A multi-agent system(MAS)-based robust adaptive cooperative framework was proposed for real-time contami-nant source tracking in urban water environments.Under the leader-follower control architecture,an adaptive compensa-tion mechanism was developed to solve the interference problem without using the upper bound of external bounded distur-bances.To solve the problem of actuator saturation constraints,a nonlinear Gauss error function was introduced to generate bounded control signals.Based on Lyapunov stability theory,the asymptotic convergence of closed-loop error systems was proved,which indicated that the followers could dynamically monitor the water pollution situation in the urban water fields.Finally,the effectiveness of the proposed method was verified through simulation results.关键词
多智能体系统/城市水污染/自适应技术/鲁棒协同监控策略/外部有界扰动Key words
multi-agent systems/urban water pollution/adaptive technique/robust cooperative monitoring strategy/external bounded disturbances分类
资源环境引用本文复制引用
李干蓉,杨晓武,李干荣..城市水污染的鲁棒自适应协同监控[J].海南师范大学学报（自然科学版）,2025,38(2):228-237,10.基金项目
贵州理工学院高层次人才科研启动经费项目(2023GCCZK) （2023GCCZK）
贵州理工学院学术新苗培养及创新探索专项培育项目(GZLGXM-07) （GZLGXM-07）
