In this paper,the distributed fuzzy fault-tolerant tracking consensus problem of leader-follower multi-agent systems(MASs)is studied.The objective system includes actuator faults,mismatched parameter uncertainties,non...In this paper,the distributed fuzzy fault-tolerant tracking consensus problem of leader-follower multi-agent systems(MASs)is studied.The objective system includes actuator faults,mismatched parameter uncertainties,nonlinear functions,and exogenous disturbances under switching communication topologies.To solve this problem,a distributed fuzzy fault-tolerant controller is proposed for each follower by adaptive mechanisms to track the state of the leader.Furthermore,the fuzzy logic system is utilized to approximate the unknown nonlinear dynamics.An error estimator is introduced between the mismatched parameter matrix and the input matrix.Then,a selective adaptive law with relative state information is adopted and applied.When calculating the Lyapunov function’s derivative,the coupling terms related to consensus error and mismatched parameter uncertainties can be eliminated.Finally,a numerical simulation is given to validate the effectiveness of the proposed protocol.展开更多
文摘由于不同井间工况差异显著,异常振动特征分布存在跨井不一致性,传统基于单井数据的监测方法难以适应跨井场景。为此,以黏滑振动为例,对不同工况下的黏滑振动数据特征进行了对比分析,提出了一种结合深度判别迁移学习网络(domain adaptive transfer learning network,DDTLN)与BO⁃Transformer⁃LSTM的跨井异常振动识别方法。将近钻头振动数据输入到DDTLN模型中,通过卷积层与改进的联合分布自适应(IJDA)机制减小域间特征差异,实现跨域特征提取;将提取的特征输入到BO⁃Transformer⁃LSTM模型中挖掘时序信息,实现跨井高效分类。试验结果表明:不同工况下井间振动信号差异显著,传统方法跨域分类效果较差;经过DDTLN处理后,不同域间的数据特征有了很好的对齐,跨域识别准确率高达91.5%;DDTLN⁃BO⁃Transformer⁃LSTM模型能够有效解决跨井识别问题,分类准确率最高达96.7%,显著优于传统单井识别方法,具有更好的泛化能力。该研究可为跨井场景下的井下异常振动识别提供新思路。
基金This work was supported by Tianjin Natural Science Foundation of China(20JCYBJC01060,20JCQNJC01450)the National Natural Science Foundation of China(61973175)Tianjin Postgraduate Scientific Research and Innovation Project(2020YJSZXB03,2020YJSZXB12).
文摘In this paper,the distributed fuzzy fault-tolerant tracking consensus problem of leader-follower multi-agent systems(MASs)is studied.The objective system includes actuator faults,mismatched parameter uncertainties,nonlinear functions,and exogenous disturbances under switching communication topologies.To solve this problem,a distributed fuzzy fault-tolerant controller is proposed for each follower by adaptive mechanisms to track the state of the leader.Furthermore,the fuzzy logic system is utilized to approximate the unknown nonlinear dynamics.An error estimator is introduced between the mismatched parameter matrix and the input matrix.Then,a selective adaptive law with relative state information is adopted and applied.When calculating the Lyapunov function’s derivative,the coupling terms related to consensus error and mismatched parameter uncertainties can be eliminated.Finally,a numerical simulation is given to validate the effectiveness of the proposed protocol.
