Dong Eui Chang

Orcid: 0000-0002-6496-4189

According to our database1, Dong Eui Chang authored at least 83 papers between 2000 and 2024.

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

Timeline

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Bibliography

2024
Transversally exponentially stable Euclidean space extension technique for discrete time systems.
CoRR, 2024

Machine learning based state observer for discrete time systems evolving on Lie groups.
CoRR, 2024

Angular velocity and linear acceleration measurement bias estimators for the rigid body system with global exponential convergence.
CoRR, 2024

Globally exponentially convergent observer for systems evolving on matrix Lie groups.
CoRR, 2024

2023
A New Bundle Picture for the Drone.
IEEE Trans. Autom. Control., July, 2023

2022
Model Predictive Regulation on Manifolds in Euclidean Space.
Sensors, 2022

Feedback Integrators for Mechanical Systems with Holonomic Constraints.
Sensors, 2022

Unscented Kalman filter with stable embedding for simple, accurate and computationally efficient state estimation of systems on manifolds in Euclidean space.
CoRR, 2022

Learning Flexible and Fair Data Representations.
IEEE Access, 2022

Globally Convergent Observer for the Rigid Body System on SE(3) in Presence of Intermittent Measurements.
IEEE Access, 2022

Model-Free Unsupervised Anomaly Detection of a General Robotic System Using a Stacked LSTM and Its Application to a Fixed-Wing Unmanned Aerial Vehicle.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Sim-to-Real Transfer of Image-Based Autonomous Guidewire Navigation Trained by Deep Deterministic Policy Gradient with Behavior Cloning for Fast Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Globally exponentially convergent observer for the rigid body system on SE(3).
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Globally Exponentially Convergent Continuous Observers for Velocity Bias and State for Invariant Kinematic Systems on Matrix Lie Groups.
IEEE Trans. Autom. Control., 2021

An Effective Baseline Correction Algorithm Using Broad Gaussian Vectors for Chemical Agent Detection with Known Raman Signature Spectra.
Sensors, 2021

The Adaptive Dynamic Programming Toolbox.
Sensors, 2021

Multipath Lightweight Deep Network Using Randomly Selected Dilated Convolution.
Sensors, 2021

Robust Navigation for Racing Drones based on Imitation Learning and Modularization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Constrained Control for Systems on Lie Groups with Uncertainties via Tube-Based Model Predictive Control on Euclidean Spaces.
Proceedings of the Cognitive Systems and Information Processing, 2021

2020
Model Predictive Tracking Control for Invariant Systems on Matrix Lie Groups via Stable Embedding Into Euclidean Spaces.
IEEE Trans. Autom. Control., 2020

Design of a Hard Expectation-Maximization-Based Normalized Matched Filter (EM-NMF) for the Detection of Chemical Warfare Agents Under Background Contamination.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Tracking Controller Design for Satellite Attitude Under Unknown Constant Disturbance Using Stable Embedding.
CoRR, 2020

Double Prioritized State Recycled Experience Replay.
CoRR, 2020

Invariant extended Kalman filter on matrix Lie groups.
Autom., 2020

Interaction-aware Kalman Neural Networks for Trajectory Prediction.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019
Feedback Integrators for Nonholonomic Mechanical Systems.
J. Nonlinear Sci., 2019

Robust Beamforming and Time Allocation for Full-Duplex Wireless-Powered Communication Networks.
IEEE Commun. Lett., 2019

Design of Globally Exponentially Convergent Continuous Observers for Velocity Bias and State for Systems on Real Matrix Groups.
CoRR, 2019

Deep Reinforcement Learning Based Robot Arm Manipulation with Efficient Training Data through Simulation.
CoRR, 2019

Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving.
CoRR, 2019

A Dual Memory Structure for Efficient Use of Replay Memory in Deep Reinforcement Learning.
CoRR, 2019

Robotic Navigation using Entropy-Based Exploration.
CoRR, 2019

Learning-Driven Exploration for Reinforcement Learning.
CoRR, 2019

Stochastic Inverse Reinforcement Learning.
CoRR, 2019

Interaction-aware Kalman Neural Networks for Trajectory Prediction.
CoRR, 2019

Attitude Observer on SO(3) with Time-Varying Reference Directions.
Proceedings of the 17th European Control Conference, 2019

Passivity-based Adaptive Control of Quadrotors with Mass and Moment of Inertia Uncertainties.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Enhancement of Energy-Based Swing-Up Controller via Entropy Search.
Proceedings of the 12th Asian Control Conference, 2019

2018
Deep Neural Networks in a Mathematical Framework
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-75303-4, 2018

On the Decomposition of Forces.
CoRR, 2018

Observer-Based Controller Design for Systems on Manifolds in Euclidean Space.
CoRR, 2018

A Global, Continuous, and Exponentially Convergent Observer for Attitude and Gyro Bias.
CoRR, 2018

Towards Robust Neural Networks with Lipschitz Continuity.
Proceedings of the Digital Forensics and Watermarking - 17th International Workshop, 2018

2017
Global Chartwise Feedback Linearization of the Quadcopter With a Thrust Positivity Preserving Dynamic Extension.
IEEE Trans. Autom. Control., 2017

Controller design for systems on manifolds in Euclidean space.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Attitude control strategies overcoming the topological obstruction on SO(3).
Proceedings of the 2017 American Control Conference, 2017

2016
Feedback Integrators.
J. Nonlinear Sci., 2016

A Novel Representation of Neural Networks.
CoRR, 2016

A Geometric Framework for Convolutional Neural Networks.
CoRR, 2016

2015
On the method of energy shaping via static output feedback for stabilization of mechanical systems.
J. Frankl. Inst., 2015

Quasi-linearizability of various benchmark control mechanical systems.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2014
Construction of an atlas for global flatness-based parameterization and dynamic feedback linearization of quadcopter dynamics.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Control of Roll-to-Roll Web Systems via Differential Flatness and Dynamic Feedback Linearization.
IEEE Trans. Control. Syst. Technol., 2013

Geometric Criteria for the Quasi-Linearization of the Equations of Motion of Mechanical Systems.
IEEE Trans. Autom. Control., 2013

Energy Shaping for Systems with Two Degrees of Underactuation and More than Three Degrees of Freedom.
SIAM J. Control. Optim., 2013

Characterizing the reachable set for a spacecraft with two rotors.
Syst. Control. Lett., 2013

On the Damping-Induced Self-Recovery Phenomenon in Mechanical Systems with Several Unactuated Cyclic Variables.
J. Nonlinear Sci., 2013

Lyapunov-based Low-thrust Optimal Orbit Transfer: An approach in Cartesian coordinates.
CoRR, 2013

Tracking controller design methodology for passive port-controlled Hamiltonians with application to type-2 STATCOM systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Self recovery phenomenon of mechanical systems with an unactuated cyclic variable.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Reachability and controllability of a particle in a dielectrophoretic system.
Syst. Control. Lett., 2011

A simple proof of the Pontryagin maximum principle on manifolds.
Autom., 2011

Aspects of time-optimal control of a particle in a Dielectrophoretic system.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Stabilization of the lateral dynamics of a roll-to-roll WEB system.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011

2010
Task-Induced Symmetry and Reduction With Application to Needle Steering.
IEEE Trans. Autom. Control., 2010

Stabilizability of Controlled Lagrangian Systems of Two Degrees of Freedom and One Degree of Under-Actuation by the Energy-Shaping Method.
IEEE Trans. Autom. Control., 2010

The Method of Controlled Lagrangians: Energy plus Force Shaping.
SIAM J. Control. Optim., 2010

2007
Task-induced symmetry and reduction in kinematic systems with application to needle steering.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Experiments of trajectory generation and obstacle avoidance for a UGV.
Proceedings of the American Control Conference, 2007

Time-optimal control of a 3-level quantum system and its generalization to an n-level system.
Proceedings of the American Control Conference, 2007

2006
Time-optimal control of a particle in a dielectrophoretic system.
IEEE Trans. Autom. Control., 2006

2005
Geometric visual servoing.
IEEE Trans. Robotics, 2005

2004
Control bifurcations.
IEEE Trans. Autom. Control., 2004

Reduction of Controlled Lagrangian and Hamiltonian Systems with Symmetry.
SIAM J. Control. Optim., 2004

Controlled Lagrangian Systems with Gyroscopic Forcing and Dissipation.
Eur. J. Control, 2004

2003
Toward Geometric Visual Servoing.
Proceedings of the Control Problems in Robotics, 2003

Collision avoidance for multiple agent systems.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Separation of bioparticles using the travelling wave dielectrophoresis with multiple frequencies.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2001
Controlled Lagrangians and the stabilization of mechanical systems. II. Potential shaping.
IEEE Trans. Autom. Control., 2001

2000
Asymptotic stabilization of the heavy top using controlled Lagrangians.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Normal forms and bifurcations of control systems.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Potential and kinetic shaping for control of underactuated mechanical systems.
Proceedings of the American Control Conference, 2000


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