Kaikai Zheng

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Information-triggered learning with application to learning-based predictive control.
Autom.
Kaikai Zheng, Dawei Shi, Sandra Hirche, Yang Shi
2025 J jnl
Safety-Critical Randomized Event-Triggered Learning of Gaussian Process With Applications to Data-Driven Predictive Control.
IEEE Trans. Autom. Control.
Kaikai Zheng, Dawei Shi, Yang Shi
2025 J jnl
Thompson Sampling-Based Learning and Control for Unknown Dynamic Systems.
CoRR
Kaikai Zheng, Dawei Shi, Yang Shi, Long Wang
2024 — conf
Event-triggered learning of Euler-Lagrange systems: A Koopman operator framework.
CDC
Kaikai Zheng, Dawei Shi, Shilei Li, Yang Shi
2024 J jnl
Innovation-triggered Learning for Data-driven Predictive Control: Deterministic and Stochastic Formulations.
CoRR
Kaikai Zheng, Dawei Shi, Sandra Hirche, Yang Shi
2024 J jnl
Open-/Closed-loop Active Learning for Data-driven Predictive Control.
CoRR
Shilun Feng, Dawei Shi, Yang Shi, Kaikai Zheng
2024 J jnl
State Estimation with Event Sensors: Observability Analysis and Multi-sensor Fusion.
SIAM J. Control. Optim.
Xinhui Liu, Kaikai Zheng, Dawei Shi, Tongwen Chen
2023 J jnl
Nonparameteric Event-Triggered Learning With Applications to Adaptive Model Predictive Control.
IEEE Trans. Autom. Control.
Kaikai Zheng, Dawei Shi, Yang Shi, Junzheng Wang
2022 J jnl
Event-triggered Observability: A Set-membership Perspective.
CoRR
Kaikai Zheng, Dawei Shi, Tongwen Chen
2022 J jnl
Orbit Estimation for Spacecraft Based on Intermittent Measurements: An Event-Triggered UKF Approach.
IEEE Trans. Aerosp. Electron. Syst.
Lijun Hou, Hengguang Zou, Kaikai Zheng, Lei Zhang, Na Zhou, Junqiang Ren, Dawei Shi
2021 J jnl
Learning hidden Markov models for linear Gaussian systems with applications to event-based state estimation.
Autom.
Kaikai Zheng, Dawei Shi, Ling Shi
2020 J jnl
Learning Hidden Markov Models for Linear Gaussian Systems with Applications to Event-based State Estimation.
CoRR
Kaikai Zheng, Dawei Shi, Ling Shi