撰写论文、专著、教材等 [期刊论文（*代表通讯作者]
D. Gan, R. Yan, S. Chen, Z. Liu, Distributed extended stochastic gradient algorithm for joint identification of system parameters and noise model parameters, 63(1): 650-675, SIAM Journal on Control and Optimization, 2025. pdf S. Xie, D. Gan*, Z. Liu, Stability analysis of distributed Kalman filtering algorithm for stochastic regression model, Control Theory and Technology, 23: 161-175, 2025. pdf R. Li, D. Gan, S. Xie, H. Gu, J. Lv, Analysis of the compressed distributed Kalman filter over Markovian switching topology, IEEE Transactions on Cybernetics, 55(3): 1372-1384, 2025. pdf S. Chen, D. Gan, S. Xie, J. Lv, Privacy-preserving distributed adaptive estimation for non-stationary regression data, Systems & Control Letters, 203:106147, 2025.pdf S. Xie, R. Li, D. Gan*, Distributed extended least squares algorithm over directed graphs, Automatica, 2025. (under review) D. Gan, Z. Liu, Distributed online sparse identification for multivariate stochastic regression models, Automatica, 2025. (under review) S. Chen, D. Gan, S. Xie, J. Lv, Distributed sparse adaptive estimation over Markov switching topologies, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025. (under 3th review) S. Xie, Y. Xu, R. Lin, D. Gan, S. Luo, Collaborative spectum sensing based on distributed adaptive filtering, IEEE Open Journal of the Communications Society, 2025. (under review)
D. Gan, S. Xie, Z. Liu, J. Lv, Stability of FFLS-based diffusion adaptive filter under cooperative excitation condition, IEEE Transactions on Automatic Control, 69(11):7479-7492, 2024. pdf D. Gan, Z. Liu, Convergence of the distributed SG algorithm under cooperative excitation condition, IEEE Transactions on Neural Networks and Learning System, 35(5):7087-7101, 2024. pdf S. Xie, S. Zhang, Z. Wang, D. Gan*, Compressed least squares algorithm of continuous-time linear stochastic regression model using sampling data, Journal of Systems Science and Complexity, 37(4):1488-1506, 2024. pdf R. Li, D. Gan, S. Xie, J. Lv, Stability and performance analysis of the compressed Kalman filter algorithm for sparse stochastic systems, Science China Technological Sciences, 67(2): 380-394, 2024. pdf R. Li, D. Gan, H. Gu, J. Lv, Distributed state estimation for sparse stochastic systems based on compressed sensing, IEEE Transactions on Circuits and Systems II: Express Briefs, 71(8):3840-3844, 2024. pdf X. Zhu, D. Gan, Z. Liu, Distributed least squares algorithm of continuous-time stochastic regression model based on sampled data, Journal of Systems Science and Complexity, 37(2):609-628, 2024. pdf R. Li, G. Chen, D. Gan, H. Gu, J. Lv, Stackelberg and Nash equilibrium computation in non-convex leader-follower network aggregative games, IEEE Transactions on Circuits and Systems I: Regular Papers, 71(2):898-909, 2024. pdf
D. Gan, Z. Liu, Distributed sparse identification for stochastic dynamic systems under cooperative non-persistent excitation condition, Automatica, 151:110958, 2023. pdf S. Xie, D. Gan*, Z. Liu, Two-layer diffusion adaptive filters over directed Markovian switching networks, IEEE Control Systems Letters(with IEEE ACC 2024), 7: 3501-3506, 2023. pdf
D. Gan, Z. Liu, Distributed order estimation of ARX model under cooperative excitation condition, SIAM Journal on Control and Optimization, 60(3): 1519-1545, 2022. pdf D. Gan, Z. Liu, Performance analysis of the compressed distributed least squares algorithm, Systems & Control Letters, 164: 105228, 2022. pdf X. Zhu, D. Gan, Z. Liu, Performance analysis of least squares of continuous-time model based on sampling data, IEEE Control Systems Letters (with IEEE CDC 2022), 6: 3086-3091, 2022. pdf 王芳，甘叠，刘念，认罪认罚量刑从宽实效研究——基于故意伤害罪轻罪的数据解读，山东大学学报(哲学社会科学版)，2022年第3期，65-77.（中文核心）pdf
D. Gan, S. Xie, Z. Liu, Stability of the distributed Kalman filter using general random coefficients, Science China Information Sciences, 64: 172204, 2021. pdf [会议论文（*代表通讯作者)]
S. Chen, D. Gan*, S. Xie, J. Lv, Tracking bound of compressed distributed recursive least squares with forgetting factor, Proceedings of the 14th Asian Control Conference, China, Dalian, pp. 2434-2439, 2024. pdf S. Chen, D. Gan*, K. Liu, J. Lv, Stability of compressed recursive least squares with forgetting factor algorithm, IFAC-PapersOnLine, 56(2):10240-10245, 2023. pdf D. Gan, Z. Liu, On the stability of Kalman filter with random coefficients, IFAC-PapersOnLine, 53(2):2397-2402, 2020. pdf D. Gan, Z. Liu, Strong consistency of the distributed stochastic gradient algorithm, Proceedings of IEEE 58th Conference on Decision and Control, Nice, France, pp. 5082-5087, 2019. pdf D. Gan, R. Li, Logarithmic regret bound for distributed adaptive sparse estimation without excitation condition, Accepted by Proceedings of the 15th International Workshop on Adaptive and Learning Control Systems, 2025. D. Gan, Y. Xu, S. Xie, Distributed adaptive identification for stochastic large models with infinite unknown parameters, Accepted by Proceedings of the 44th Chinese Control Conference, 2025. D. Gan, et al., Accurate performance analysis of distributed adaptive differential privacy estimation, Proceedings of IEEE 64th Conference on Decision and Control, 2025. (under review) N. Liu, C. Zhao, D. Gan, et al., Adaptive stochastic discrete-time linear quadratic optimal control, Proceedings of IEEE 64th Conference on Decision and Control, 2025. (under review) |
