Meng, Y., Li, Y., & Liu, J. (2021). Control of Nonlinear Systems with Reach-Avoid-Stay Specifications: A Lyapunov-Barrier Approach with an Application to the Moore-Greizer Model Presented at the Control of Nonlinear Systems With Reach-Avoid-Stay Specifications: A Lyapunov-Barrier Approach With an Application to the Moore-Greizer Model conference. https://doi.org/https://doi.org/10.23919/ACC50511.2021.9483376
References
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Zhang, M., Liu, X., & Liu, J. (2021). Convergence Analysis of a Continuous-Time Distributed Gradient Descent Algorithm IEEE Control Systems Letters, 5. https://doi.org/https://doi.org/10.1109/LCSYS.2020.3037038
Zhang, H., & Liu, J. (2021). Event-Triggered Fuzzy Flight Control of a Two-Degree-of-Freedom Helicopter System IEEE Transactions on Fuzzy Systems, 29. https://doi.org/https://doi.org/10.1109/TFUZZ.2020.3009755
Liu, J. (2021). Converse Barrier Functions via Lyapunov Functions IEEE Transactions on Automatic Control. https://doi.org/https://doi.org/10.1109/TAC.2021.3085419
Liu, K.-Z., Wang, X.-F., Teel, A. R., Sun, X.-M., & Liu, J. (2021). A Matrosov Theorem for Hybrid Systems With Memory IEEE Transactions on Automatic Control, 66. https://doi.org/https://doi.org/10.1109/TAC.2020.3042482
Liu, Y., Liu, J., & Li, W. (2021). Stabilization of Highly Nonlinear Stochastic Coupled Systems via Periodically Intermittent Control IEEE Transactions on Automatic Control, 66. https://doi.org/https://doi.org/10.1109/TAC.2020.3036035
Liu, J. (2021). On the convergence of reinforcement learning with Monte Carlo Exploring Starts Automatica, 129. https://doi.org/https://doi.org/10.1016/j.automatica.2021.109693
Li, Y., Sun, Z., & Liu, J. (2021). ROCS 2.0: An Integrated Temporal Logic Control Synthesis Tool for Nonlinear Dynamical Systems Presented at the An Integrated Temporal Logic Control Synthesis Tool for Nonlinear Dynamical Systems conference. https://doi.org/https://doi.org/10.1016/j.ifacol.2021.08.470
Liu, J. (2021). Closing the Gap Between Discrete Abstractions and Continuous Control: Completeness via Robustness and Controllability Presented at the Closing the Gap Between Discrete Abstractions and Continuous Control: Completeness via Robustness and Controllability conference. https://doi.org/https://doi.org/10.1007/978-3-030-85037-1_5
Prabhakar, P., & Liu, J. (2021). Simulation Relations for Abstraction-based Robust Control of Hybrid Dynamical Systems Presented at the Simulation Relations for Abstraction-Based Robust Control of Hybrid Dynamical Systems conference. https://doi.org/https://doi.org/10.1016/j.ifacol.2021.08.484