Junbo Tan
Orcid: 0000-0002-8956-5408
According to our database1,
Junbo Tan
authored at least 33 papers
between 2016 and 2024.
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Bibliography
2024
Hybrid Trajectory Optimization for Autonomous Terrain Traversal of Articulated Tracked Robots.
IEEE Robotics Autom. Lett., January, 2024
CoRR, 2024
Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024
Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Confidence set-based analysis of minimal detectable fault under hybrid Gaussian and bounded uncertainties.
Autom., September, 2023
A novel geometry optimization strategy to online active fault diagnosis of LPV systems.
Autom., April, 2023
DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning.
CoRR, 2023
Active input design for simultaneous fault estimation and fault-tolerant control of LPV systems.
Autom., 2023
Visuotactile Sensor Enabled Pneumatic Device Towards Compliant Oropharyngeal Swab Sampling.
IROS, 2023
Reinforcement Learning-Based Robust Tracking Control Application to Morphing Aircraft.
Proceedings of the American Control Conference, 2023
2022
IEEE Trans. Autom. Control., 2022
Data-Driven Robust Control for Discrete Linear Time-Invariant Systems: A Descriptor System Approach.
CoRR, 2022
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022
Integrated Design of Input and Observer Gain for Active Fault Diagnosis Based on Hybrid Stochastic-Deterministic Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Active Fault-Tolerant Control Integrated with Reinforcement Learning Application to Robotic Manipulator.
Proceedings of the American Control Conference, 2022
Proceedings of the American Control Conference, 2022
Computation of Minimal Detectable Fault under Hybrid Stochastic and Deterministic Framework.
Proceedings of the American Control Conference, 2022
2021
Data-Driven Controllability Analysis and Stabilization for Linear Descriptor Systems.
CoRR, 2021
Set-based guaranteed active fault diagnosis for LPV systems with unknown bounded uncertainties.
Autom., 2021
Optimal Input Design for Active Fault Estimation of LPV Systems under Set-Theoretic Framework.
Proceedings of the 2021 American Control Conference, 2021
2020
Multiple actuator-fault detectability analysis using invariant sets for discrete-time LPV systems.
Int. J. Syst. Sci., 2020
Conservatism Comparison of State Estimation Error and Residual in Multiple Actuator Faults Detection.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
2019
Robust Fault Detection and Set-Theoretic UIO for Discrete-Time LPV Systems With State and Output Equations Scheduled by Inexact Scheduling Variables.
IEEE Trans. Autom. Control., 2019
Invariant set-based robust fault detection and optimal fault estimation for discrete-time LPV systems with bounded uncertainties.
Int. J. Syst. Sci., 2019
Conservatism comparison of set-based robust fault detection methods: Set-theoretic UIO and interval observer cases.
Autom., 2019
Invariant Set-Based Analysis of Minimal Detectable Fault for Discrete-Time LPV Systems With Bounded Uncertainties.
IEEE Access, 2019
A Novel RPI Set Computation Method for Discrete-time LPV Systems with Bounded Uncertainties.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
Invariant-set based minimal detectable fault computation of discrete-time LPV systems with bounded uncertainties.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Mixed Active/Passive Robust Fault Detection and Isolation Using Set-Theoretic Unknown Input Observers.
IEEE Trans Autom. Sci. Eng., 2018
2016
Analysis of set-theoretic unknown input observer and interval observer in robust fault detection.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
A novel design of unknown input observers using set-theoretic methods for robust fault detection.
Proceedings of the 2016 American Control Conference, 2016