Learning hidden Markov models for linear Gaussian systems with applications to event-based state estimation. - Kaikai Zheng; Dawei Shi; Ling Shi 001 (Autom., 2021)

Event-triggered Observability: A Set-membership Perspective. - Kaikai Zheng; Dawei Shi; Tongwen Chen (CoRR, 2022)

Orbit Estimation for Spacecraft Based on Intermittent Measurements: An Event-Triggered UKF Approach. - Lijun Hou; Hengguang Zou; Kaikai Zheng; Lei Zhang; Na Zhou; Junqiang Ren; Dawei Shi (IEEE Trans. Aerosp. Electron. Syst., 2022)

Nonparameteric Event-Triggered Learning With Applications to Adaptive Model Predictive Control. - Kaikai Zheng; Dawei Shi; Yang Shi 001; Junzheng Wang (IEEE Trans. Autom. Control., 2023)

Event-triggered learning of Euler-Lagrange systems: A Koopman operator framework. - Kaikai Zheng; Dawei Shi; Shilei Li; Yang Shi 001 (CDC, 2024)

Innovation-triggered Learning for Data-driven Predictive Control: Deterministic and Stochastic Formulations. - Kaikai Zheng; Dawei Shi; Sandra Hirche; Yang Shi 001 (CoRR, 2024)

Open-/Closed-loop Active Learning for Data-driven Predictive Control. - Shilun Feng; Dawei Shi; Yang Shi 001; Kaikai Zheng (CoRR, 2024)

State Estimation with Event Sensors: Observability Analysis and Multi-sensor Fusion. - Xinhui Liu; Kaikai Zheng; Dawei Shi; Tongwen Chen (SIAM J. Control. Optim., 2024)

Thompson Sampling-Based Learning and Control for Unknown Dynamic Systems. - Kaikai Zheng; Dawei Shi; Yang Shi 001; Long Wang 001 (CoRR, 2025)

Safety-Critical Randomized Event-Triggered Learning of Gaussian Process With Applications to Data-Driven Predictive Control. - Kaikai Zheng; Dawei Shi; Yang Shi 001 (IEEE Trans. Autom. Control., 2025)