Zengjie Zhang

Orcid: 0000-0003-1875-1032

According to our database1, Zengjie Zhang authored at least 24 papers between 2017 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Adaptive Observer for a Class of Systems With Switched Unknown Parameters Using DREM.
IEEE Trans. Autom. Control., April, 2024

Risk-Aware MPC for Stochastic Systems with Runtime Temporal Logics.
CoRR, 2024

2023
Safe Feedback Motion Planning in Unknown Environments: An Instantaneous Local Control Barrier Function Approach.
J. Intell. Robotic Syst., October, 2023

Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems.
Dataset, February, 2023

A Persistent-Excitation-Free Method for System Disturbance Estimation Using Concurrent Learning.
IEEE Trans. Circuits Syst. I Regul. Pap., 2023

Incorporating Target Vehicle Trajectories Predicted by Deep Learning Into Model Predictive Controlled Vehicles.
CoRR, 2023

Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning.
CoRR, 2023

Exploiting Intrinsic Stochasticity of Real-Time Simulation to Facilitate Robust Reinforcement Learning for Robot Manipulation.
CoRR, 2023

Exploiting Symmetry and Heuristic Demonstrations in Off-policy Reinforcement Learning for Robotic Manipulation.
CoRR, 2023

Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems.
CoRR, 2023

Human-Robot Skill Transfer with Enhanced Compliance via Dynamic Movement Primitives.
CoRR, 2023

Simultaneous Recursive Identification of Parameters and Switching Manifolds Identification of Discrete-Time Switched Linear Systems.
CoRR, 2023

Disturbance Estimation for High-Degree-of-Freedom Euler-Lagrangian Systems Using Sliding Mode Observer without Matching Conditions.
CoRR, 2023

Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous Driving.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Modularized Control Synthesis for Complex Signal Temporal Logic Specifications.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Automated Formation Control Synthesis from Temporal Logic Specifications.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
A High-Fidelity Simulation Platform for Industrial Manufacturing by Incorporating Robotic Dynamics Into an Industrial Simulation Tool.
IEEE Robotics Autom. Lett., 2022

A methodical interpretation of adaptive robotics: Study and reformulation.
Neurocomputing, 2022

2021
An Online Robot Collision Detection and Identification Scheme by Supervised Learning and Bayesian Decision Theory.
IEEE Trans Autom. Sci. Eng., 2021

Instantaneous Local Control Barrier Function: An Online Learning Approach for Collision Avoidance.
CoRR, 2021

Optimal filtering and control of network information epidemics.
Autom., 2021

2020
Integral Sliding-Mode Observer-Based Disturbance Estimation for Euler-Lagrangian Systems.
IEEE Trans. Control. Syst. Technol., 2020

2017
Protective control for robot manipulator by sliding mode based disturbance reconstruction approach.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017


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