Die Gan - researchr alias

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Viewing Publication 1 - 9 from 9

2024

Stackelberg and Nash Equilibrium Computation in Non-Convex Leader-Follower Network Aggregative GamesRongjiang Li, Guanpu Chen, Die Gan, Haibo Gu, Jinhu Lü. tcasI, 71(2):898-909, February 2024. [doi]

Distributed Least Squares Algorithm of Continuous-Time Stochastic Regression Model Based on Sampled DataXinghua Zhu, Die Gan, Zhixin Liu 0003. jossac, 37(2):609-628, April 2024. [doi]

2023

Distributed sparse identification for stochastic dynamic systems under cooperative non-persistent excitation conditionDie Gan, Zhixin Liu 0003. automatica, 151:110958, 2023. [doi]

Two-Layer Diffusion Adaptive Filters Over Directed Markovian Switching NetworksSiyu Xie, Die Gan, Zhixin Liu 0003. csysl, 7:3501-3506, 2023. [doi]

2022

Performance analysis of the compressed distributed least squares algorithmDie Gan, Zhixin Liu. scl, 164:105228, 2022. [doi]

Distributed Order Estimation of ARX Model under Cooperative Excitation ConditionDie Gan, Zhixin Liu 0003. siamco, 60(3):1519-1545, 2022. [doi]

Performance Analysis of Least Squares of Continuous-Time Model Based on Sampling DataXinghua Zhu, Die Gan, Zhixin Liu 0003. csysl, 6:3086-3091, 2022. [doi]

2021

Stability of the distributed Kalman filter using general random coefficientsDie Gan, Siyu Xie, Zhixin Liu. chinaf, 64(7), 2021. [doi]

2019

Strong consistency of the distributed stochastic gradient algorithmDie Gan, Zhixin Liu. cdc 2019: 5082-5087 [doi]

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