撰写论文、专著、教材等
D. Gan, S. Xie, Z. Liu, J. Lv, Stability of FFLS-based diffusion adaptive filter under cooperative excitation condition, IEEE Transactions on Automatic Control, doi: 10.1109/TAC.2024.3388128, 2024. (JCR Q1)
D. Gan, Z. Liu, Distributed sparse identification for stochastic dynamic systems under cooperative non-persistent excitation condition, Automatica, 151:110958, 2023. (JCR Q1)
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. (JCR Q1)
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. (JCR Q1)
D. Gan, S. Xie, Z. Liu, Stability of the distributed Kalman filter using general random coefficients, Science China Information Sciences, 64: 172204, 2021. (JCR Q1)
D. Gan, Z. Liu, Performance analysis of the compressed distributed least squares algorithm, Systems & Control Letters, 164: 105228, 2022.
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. (JCR Q1)
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.
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. (JCR Q1)
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, doi: 10.1109/TCSII.2024.3372020, 2023.
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.
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. (JCR Q1)
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. (JCR Q1)
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)
D. Gan, Z. Liu, On the stability of Kalman filter with random coefficients, IFAC-PapersOnLine, 53(2):2397-2402, 2020.
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.
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.
S. Chen, D. Gan*, S. Xie, J. Lv, Tracking bound of compressed distributed recursive least squares with forgetting factor, Proceedings of 14th Asian Control Conference, China, Dalian, pp. 2434-2439, 2024.
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