| Stabilization of input-disturbed stochastic port-Hamiltonian systems via passivity Z Fang, C Gao IEEE Transactions on Automatic Control 62 (8), 4159-4166, 2017 | 20 | 2017 |
| Lyapunov Function Partial Differential Equations for Chemical Reaction Networks: Some Special Cases Z Fang, C Gao SIAM Journal on Applied Dynamical Systems 18 (2), 1163-1199, 2019 | 17 | 2019 |
| Stochastic filtering for multiscale stochastic reaction networks based on hybrid approximations Z Fang, A Gupta, M Khammash Journal of Computational Physics 467, 111441, 2022 | 9 | 2022 |
| Stochastic filters based on hybrid approximations of multiscale stochastic reaction networks Z Fang, A Gupta, M Khammash 2020 59th IEEE Conference on Decision and Control (CDC), 4616-4621, 2020 | 8 | 2020 |
| Convergence of regularized particle filters for stochastic reaction networks Z Fang, A Gupta, M Khammash SIAM Journal on Numerical Analysis 61 (2), 399-430, 2023 | 7 | 2023 |
| Noise-to-state exponentially stabilizing (state, input)-disturbed CSTRs with non-vanishing noise Y Lu, Z Fang, C Gao, D Dochain Automatica 142, 110387, 2022 | 7* | 2022 |
| Complex Balancing Reconstructed to the Asymptotic Stability of Mass-Action Chemical Reaction Networks with Conservation Laws M Ke, Z Fang, C Gao SIAM Journal on Applied Mathematics 79 (1), 55-74, 2019 | 7 | 2019 |
| Stochastic weak passivity for weakly stabilizing stochastic systems with nonvanishing noise Z Fang, C Gao, D Dochain Systems & Control Letters, 2023 | 4* | 2023 |
| Time-domain Boundedness of Noise-to-State Exponentially Stable Systems Z Fang, C Gao ESAIM: Control, Optimisation and Calculus of Variations 26 (4), 105, 23pp, 2020 | 4* | 2020 |
| A divide-and-conquer method for analyzing high-dimensional noisy gene expression networks Z Fang, A Gupta, S Kumar, M Khammash bioRxiv, 2022.10. 28.514278, 2022 | 3* | 2022 |
| Efficacy of Regularized Multitask Learning Based on SVM Models S Chen, Z Fang, S Lu, C Gao IEEE Transactions on Cybernetics, 2022 | 3 | 2022 |
| Filtered finite state projection method for the analysis and estimation of stochastic biochemical reaction networks ES D'Ambrosio, Z Fang, A Gupta, M Khammash bioRxiv, 2022.10. 18.512737, 2022 | 3 | 2022 |
| Adaptation mechanisms in phosphorylation cycles by allosteric binding and gene autoregulation Z Fang, B Jayawardhana, AV der Schaft, C Gao IEEE Transactions on Automatic Control, 2019 | 3 | 2019 |
| On the relation between ω-limit set and boundaries of mass-action chemical reaction networks X Zhang, Z Fang, C Gao, D Dochain Automatica 149, 110828, 2023 | 2 | 2023 |
| Thermodynamic Potentials from Stationary Probabilities Z Fang, BE Ydstie, C Gao IFAC-PapersOnLine 52 (7), 96-102, 2019 | 2 | 2019 |
| Revisiting persistence of chemical reaction networks through lyapunov function partial differential equations X Zhang, Z Fang, C Gao arXiv preprint arXiv:1810.00225, 2018 | 2 | 2018 |
| Integral regulation mechanism in phosphorylation cycles Z Fang, B Jayawardhana, A van der Schaft, C Gao 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5322-5327, 2017 | 1 | 2017 |
| Effective filtering approach for joint parameter-state estimation in SDEs via Rao-Blackwellization and modularization Z Fang, A Gupta, M Khammash arXiv preprint arXiv:2311.00836, 2023 | | 2023 |
| A Graphic Formulation of Nonisothermal Chemical Reaction Systems and the Analysis of Detailed Balanced Networks Z Fang, A van der Schaft, C Gao SIAM Journal on Applied Dynamical Systems 19 (4), 2594-2627, 2020 | | 2020 |
Chuanhou GaoProfessor, School of Mathematical Sciences, Zhejiang UniversityVerified email at zju.edu.cn
