Junbo Tan

According to our database1, Junbo Tan authored at least 13 papers between 2016 and 2023.

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

Timeline

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Bibliography

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
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
Optimal Input Design for Active Fault Estimation of LPV Systems under Set-Theoretic Framework.
Proceedings of the 2021 American Control Conference, 2021

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
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

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


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