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Chenyi Si
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2020 – today
- 2026
- [j8]Zhaoyang Liu, Liang Ma
, Ke Wang
Uncertainty-Aware Model-Based Multi-Agent Deep Reinforcement Learning for Robust Active Voltage Control. IEEE Trans. Circuits Syst. I Regul. Pap. 73(1): 618-629 (2026) - [j7]Jinshan Bian, Chaoxu Mu
Fuzzy Reinforcement Learning-Based Safe Cooperative Control for Nonlinear Multiagent Systems. IEEE Trans. Syst. Man Cybern. Syst. 56(4): 2240-2252 (2026) - 2025
- [j6]Jinshan Bian, Hongbing Xia
Finite-time neuro-optimal control for constrained nonlinear systems through reinforcement learning. Neurocomputing 637: 130079 (2025) - [j5]Chaoxu Mu
Fuzzy Dynamic Event-Triggered Control for Constrained Stochastic Game Systems. IEEE Trans. Fuzzy Syst. 33(8): 2481-2497 (2025) - [c1]Zewu Jiang, Junnan Zhang, Ke Wang, Chenyi Si:
VLIN-RL: A Unified Vision-Language Interpreter and Reinforcement Learning Motion Planner Framework for Robot Dynamic Tasks. IROS 2025: 21040-21047 - 2024
- [j4]Chenyi Si
Fuzzy-Based Optimal Control for Stochastic Nonlinear Systems With Constrained Inputs via Dynamic Event-Triggering. IEEE Trans. Fuzzy Syst. 32(8): 4522-4533 (2024) - [j3]Chenyi Si
Event-Triggered Adaptive Fuzzy Neural Network Output Feedback Control for Constrained Stochastic Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5345-5354 (2024) - 2023
- [j2]Chenyi Si
Event-Triggered Adaptive Output Feedback Control for Stochastic Nonlinear Systems With Time-Varying Full-State Constraints. IEEE Trans. Circuits Syst. II Express Briefs 70(1): 251-255 (2023) - [j1]Chenyi Si
Event-Triggered Adaptive Fuzzy Finite-Time Output Feedback Control for Stochastic Nonlinear Systems With Input and Output Constraints. IEEE Trans. Fuzzy Syst. 31(10): 3555-3566 (2023)
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