Junbo Tan

Orcid: 0000-0002-8956-5408

According to our database1, Junbo Tan authored at least 30 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Hybrid Trajectory Optimization for Autonomous Terrain Traversal of Articulated Tracked Robots.
IEEE Robotics Autom. Lett., January, 2024

Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy.
CoRR, 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
Toward a Convex Design Framework for Online Active Fault Diagnosis of LPV Systems.
IEEE Trans. Autom. Control., 2022

Data-Driven Robust Control for Discrete Linear Time-Invariant Systems: A Descriptor System Approach.
CoRR, 2022

Input design for integrated active fault diagnosis and output tracking control.
Autom., 2022

Filter-Based Adaptive Sliding Mode Control with Unknown Disturbance.
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

Active Input Design to Balance Fault Diagnosis and Tracking Control Performance.
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


  Loading...