无人系统智能协同控制代表性论文:
1. D. Zhang, H.L. Chen, Q. Lu, C. Deng, G. Feng. Finite-time Cooperative Output Regulation of Heterogeneous Nonlinear Multi-agent Systems under Switching DoS Attacks, Automatica, Accepted as Regular Paper.
2. W.J. Cao, D. Zhang, G. Feng. Resilient Semi-Global Finite-Time Cooperative Output Regulation of Heterogeneous Linear Multi-Agent Systems Subject to Denial-of-Service Attacks, Automatica, Accepted as Brief Paper.
3. Z.H. Ye, D. Zhang*, C. Deng, H.C. Yan, G. Feng. Finite-time resilient sliding mode control of nonlinear UMV systems subject to DoS attacks, Automatica, vol. 155, Article. 111170, 2023.
4. X.G. Guo, P.M. Liu, Z.G. Wu, D. Zhang*, C.K. Ahn*. Hybrid Event-Triggered Group Consensus Control for Heterogeneous Multi-Agent Systems with TVNUD Faults and Stochastic FDI Attacks, IEEE Transactions on Automatic Control, vol. 68, no. 12, pp. 8013-8020, 2023.
5. D. Zhang, C. Deng, G. Feng. Resilient Cooperative Output Regulation for Nonlinear Multi-Agent Systems Under DoS Attacks, IEEE Transactions on Automatic Control, vol. 68, no. 4, pp. 2521-2528, 2023.
6. C. Deng, D. Zhang*, G. Feng. Resilient Practical Cooperative Output Regulation for MASs with Unknown Switching Exosystem Dynamics Under DoS Attacks, Automatica(Regular Paper), vol. 139, 110172, May 2022.
网络化运动控制系统智能感知与诊断代表性论文:
1. Y.Y. Chen, D. Zhang*, R.Q. Yan. A Trend Domain Adaptation Approach with Dynamic Decision for Fault Diagnosis of Rotating Machinery Equipment, IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2024.3488780.
2. Y.Y. Chen, D. Zhang*, R.Q. Yan. Domain Adaptation Networks with Parameter-Free Adaptively Rectified Linear Units for Fault Diagnosis under Variable Operating Conditions, IEEE Transactions on Neural Networks and Learning Systems, Accepted.
3. Y.Y. Chen, D. Zhang*, K.P. Zhu, R.Q. Yan. An Adaptive Activation Transfer Learning Approach for Fault Diagnosis, IEEE/ASME Transactions on Mechatronics, DOI: 10.1109/TMECH.2023.3243533.
4. Y.Y. Chen, D. Zhang*, H.J. Ni, J. Cheng, H.R. Karimi. Multi-scale Split Dual Calibration Network with Periodic Information for Interpretable Fault Diagnosis of Rotating Machinery, Engineering Applications of Artificial Intelligence, vol. 123, pp. 106181, 2023.
5. Y.Y. Chen, D. Zhang*, H. Zhang, Q.G. Wang. Dual-Path Mixed Domain Residual Threshold Networks for Bearing Fault Diagnosis, IEEE Transactions on Industrial Electronics, vol. 69, no. 12, pp. 13462-13472, 2022.
6. D. Zhang, Y.Y. Chen, F.H. Guo, H.R. Karimi, Q. Xuan, H. Dong. A New Interpretable Learning Method for Fault Diagnosis of Rolling Bearings, IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 3507010, 2021.