Potential and kinetic shaping for control of underactuated mechanical systems. - Anthony M. Bloch; Dong Eui Chang; Naomi Ehrich Leonard; Jerrold E. Marsden (ACC, 2000)

Normal forms and bifurcations of control systems. - Dong Eui Chang; Wei Kang 001; Arthur J. Krener (CDC, 2000)

Asymptotic stabilization of the heavy top using controlled Lagrangians. - Dong Eui Chang; Jerrold E. Marsden (CDC, 2000)

Controlled Lagrangians and the stabilization of mechanical systems. II. Potential shaping. - Anthony M. Bloch; Dong Eui Chang; Naomi Ehrich Leonard; Jerrold E. Marsden (IEEE Trans. Autom. Control., 2001)

Separation of bioparticles using the travelling wave dielectrophoresis with multiple frequencies. - Dong Eui Chang; Sophie Loire (CDC, 2003)

Collision avoidance for multiple agent systems. - Dong Eui Chang; Shawn C. Shadden; Jerrold E. Marsden; Reza Olfati-Saber (CDC, 2003)

Toward Geometric Visual Servoing. - Noah John Cowan; Dong Eui Chang (Control Problems in Robotics, 2003)

Controlled Lagrangian Systems with Gyroscopic Forcing and Dissipation. - Craig A. Woolsey; Konda Reddy Chevva; Anthony M. Bloch; Dong Eui Chang; Naomi Ehrich Leonard; Jerrold E. Marsden (Eur. J. Control, 2004)

Reduction of Controlled Lagrangian and Hamiltonian Systems with Symmetry. - Dong Eui Chang; Jerrold E. Marsden (SIAM J. Control. Optim., 2004)

Control bifurcations. - Arthur J. Krener; Wei Kang 001; Dong Eui Chang (IEEE Trans. Autom. Control., 2004)

Geometric visual servoing. - Noah J. Cowan; Dong Eui Chang (IEEE Trans. Robotics, 2005)

Time-optimal control of a particle in a dielectrophoretic system. - Dong Eui Chang; Nicolas Petit; Pierre Rouchon (IEEE Trans. Autom. Control., 2006)

Time-optimal control of a 3-level quantum system and its generalization to an n-level system. - Dong Eui Chang; Rodolphe Sepulchre (ACC, 2007)

Experiments of trajectory generation and obstacle avoidance for a UGV. - David Vissière; Dong Eui Chang; Nicolas Petit (ACC, 2007)

Task-induced symmetry and reduction in kinematic systems with application to needle steering. - Vinutha Kallem; Dong Eui Chang; Noah J. Cowan (IROS, 2007)

The Method of Controlled Lagrangians: Energy plus Force Shaping. - Dong Eui Chang (SIAM J. Control. Optim., 2010)

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

Task-Induced Symmetry and Reduction With Application to Needle Steering. - Vinutha Kallem; Dong Eui Chang; Noah J. Cowan (IEEE Trans. Autom. Control., 2010)

Stabilization of the lateral dynamics of a roll-to-roll WEB system. - Zhao Jin; Dong Eui Chang; Kyung-Hyun Choi; Dong-Soo Kim; Jeongdai Jo (CCECE, 2011)

Aspects of time-optimal control of a particle in a Dielectrophoretic system. - Harsha Simha; Ravi N. Banavar; Dong Eui Chang (CDC/ECC, 2011)

A simple proof of the Pontryagin maximum principle on manifolds. - Dong Eui Chang (Autom., 2011)

Reachability and controllability of a particle in a dielectrophoretic system. - Harsha Simha; Ravi N. Banavar; Dong Eui Chang (Syst. Control. Lett., 2011)

Self recovery phenomenon of mechanical systems with an unactuated cyclic variable. - Dong Eui Chang; Soo Jeon (CDC, 2012)

Tracking controller design methodology for passive port-controlled Hamiltonians with application to type-2 STATCOM systems. - Yonghao Gui; Dong Eui Chang; Chung Choo Chung (CDC, 2013)

Lyapunov-based Low-thrust Optimal Orbit Transfer: An approach in Cartesian coordinates. - Hantian Zhang; Dong Eui Chang; Qingjie Cao (CoRR, 2013)

On the Damping-Induced Self-Recovery Phenomenon in Mechanical Systems with Several Unactuated Cyclic Variables. - Dong Eui Chang; Soo Jeon (J. Nonlinear Sci., 2013)

Characterizing the reachable set for a spacecraft with two rotors. - Ramaprakash Bayadi; Ravi N. Banavar; Dong Eui Chang (Syst. Control. Lett., 2013)

Energy Shaping for Systems with Two Degrees of Underactuation and More than Three Degrees of Freedom. - Wai Man Ng; Dong Eui Chang; George Labahn (SIAM J. Control. Optim., 2013)

Geometric Criteria for the Quasi-Linearization of the Equations of Motion of Mechanical Systems. - Dong Eui Chang; Raymond G. McLenaghan (IEEE Trans. Autom. Control., 2013)

Control of Roll-to-Roll Web Systems via Differential Flatness and Dynamic Feedback Linearization. - Dong Eui Chang; Jean Lévine; Jeongdai Jo; Kyung-Hyun Choi (IEEE Trans. Control. Syst. Technol., 2013)

Construction of an atlas for global flatness-based parameterization and dynamic feedback linearization of quadcopter dynamics. - Dong Eui Chang; Yongsoon Eun (CDC, 2014)

Quasi-linearizability of various benchmark control mechanical systems. - Dong Eui Chang; Kyung-Hyun Choi (CCECE, 2015)

On the method of energy shaping via static output feedback for stabilization of mechanical systems. - Dong Eui Chang; Yongsoon Eun (J. Frankl. Inst., 2015)

A Geometric Framework for Convolutional Neural Networks. - Anthony L. Caterini; Dong Eui Chang (CoRR, 2016)

A Novel Representation of Neural Networks. - Anthony L. Caterini; Dong Eui Chang (CoRR, 2016)

Feedback Integrators. - Dong Eui Chang; Fernando Jiménez; Matthew Perlmutter (J. Nonlinear Sci., 2016)

Attitude control strategies overcoming the topological obstruction on SO(3). - Taeyoung Lee; Dong Eui Chang; Yongsoon Eun (ACC, 2017)

Controller design for systems on manifolds in Euclidean space. - Dong Eui Chang (CDC, 2017)

Global Chartwise Feedback Linearization of the Quadcopter With a Thrust Positivity Preserving Dynamic Extension. - Dong Eui Chang; Yongsoon Eun (IEEE Trans. Autom. Control., 2017)

Towards Robust Neural Networks with Lipschitz Continuity. - Muhammad Usama; Dong Eui Chang (IWDW, 2018)

A Global, Continuous, and Exponentially Convergent Observer for Attitude and Gyro Bias. - Dong Eui Chang (CoRR, 2018)

Observer-Based Controller Design for Systems on Manifolds in Euclidean Space. - Dong Eui Chang (CoRR, 2018)

On the Decomposition of Forces. - Dong Eui Chang (CoRR, 2018)

Deep Neural Networks in a Mathematical Framework - Anthony L. Caterini; Dong Eui Chang (Springer, 2018)

Enhancement of Energy-Based Swing-Up Controller via Entropy Search. - Chang Sik Lee; Dong Eui Chang (ASCC, 2019)

Passivity-based Adaptive Control of Quadrotors with Mass and Moment of Inertia Uncertainties. - Jeyoung Song; Dong Eui Chang; Yongsoon Eun (CDC, 2019)

Attitude Observer on SO(3) with Time-Varying Reference Directions. - Kanishke Gamagedara; Taeyoung Lee; Dong Eui Chang (ECC, 2019)

Stochastic Inverse Reinforcement Learning. - Ce Ju; Dong Eui Chang (CoRR, 2019)

Learning-Driven Exploration for Reinforcement Learning. - Muhammad Usama; Dong Eui Chang (CoRR, 2019)

Robotic Navigation using Entropy-Based Exploration. - Muhammad Usama; Dong Eui Chang (CoRR, 2019)

A Dual Memory Structure for Efficient Use of Replay Memory in Deep Reinforcement Learning. - Wonshick Ko; Dong Eui Chang (CoRR, 2019)

Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving. - Tianqi Wang; Dong Eui Chang (CoRR, 2019)

Deep Reinforcement Learning Based Robot Arm Manipulation with Efficient Training Data through Simulation. - Xiaowei Xing; Dong Eui Chang (CoRR, 2019)

Design of Globally Exponentially Convergent Continuous Observers for Velocity Bias and State for Systems on Real Matrix Groups. - Dong Eui Chang (CoRR, 2019)

Robust Beamforming and Time Allocation for Full-Duplex Wireless-Powered Communication Networks. - Jai-Hoon Lee; Yong-Ho Cho; Dong-Jo Park; Dong Eui Chang (IEEE Commun. Lett., 2019)

Feedback Integrators for Nonholonomic Mechanical Systems. - Dong Eui Chang; Matthew Perlmutter (J. Nonlinear Sci., 2019)

Interaction-aware Kalman Neural Networks for Trajectory Prediction. - Ce Ju; Zheng Wang 046; Cheng Long 001; Xiaoyu Zhang; Dong Eui Chang (IV, 2020)

Invariant extended Kalman filter on matrix Lie groups. - Karmvir Singh Phogat; Dong Eui Chang (Autom., 2020)

Double Prioritized State Recycled Experience Replay. - Fanchen Bu; Dong Eui Chang (CoRR, 2020)

Tracking Controller Design for Satellite Attitude Under Unknown Constant Disturbance Using Stable Embedding. - Wonshick Ko; Karmvir Singh Phogat; Nicolas Petit; Dong Eui Chang (CoRR, 2020)

Design of a Hard Expectation-Maximization-Based Normalized Matched Filter (EM-NMF) for the Detection of Chemical Warfare Agents Under Background Contamination. - Hyeong-Geun Yu; Jai-Hoon Lee; Dong-Jo Park; Dong Eui Chang; Hyunwoo Nam (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Model Predictive Tracking Control for Invariant Systems on Matrix Lie Groups via Stable Embedding Into Euclidean Spaces. - Dong Eui Chang; Karmvir Singh Phogat; Jongeun Choi (IEEE Trans. Autom. Control., 2020)

Constrained Control for Systems on Lie Groups with Uncertainties via Tube-Based Model Predictive Control on Euclidean Spaces. - Yushu Yu; Chuanbeibei Shi; Yuwei Ma; Dong Eui Chang (ICCSIP, 2021)

Robust Navigation for Racing Drones based on Imitation Learning and Modularization. - Tianqi Wang; Dong Eui Chang (ICRA, 2021)

Multipath Lightweight Deep Network Using Randomly Selected Dilated Convolution. - Sangun Park; Dong Eui Chang (Sensors, 2021)

The Adaptive Dynamic Programming Toolbox. - Xiaowei Xing; Dong Eui Chang (Sensors, 2021)

An Effective Baseline Correction Algorithm Using Broad Gaussian Vectors for Chemical Agent Detection with Known Raman Signature Spectra. - Hyeong-Geun Yu; Dong-Jo Park; Dong Eui Chang; Hyunwoo Nam (Sensors, 2021)

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

Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs. - Fanchen Bu; Dong Eui Chang (AAAI, 2022)

Globally exponentially convergent observer for the rigid body system on SE(3). - Soham Shanbhag; Dong Eui Chang (CDC, 2022)

Sim-to-Real Transfer of Image-Based Autonomous Guidewire Navigation Trained by Deep Deterministic Policy Gradient with Behavior Cloning for Fast Learning. - Yongjun Cho; Jae-Hyeon Park; Jaesoon Choi; Dong Eui Chang (IROS, 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. - Jae-Hyeon Park; Soham Shanbhag; Dong Eui Chang (IROS, 2022)

Globally Convergent Observer for the Rigid Body System on SE(3) in Presence of Intermittent Measurements. - Soham Shanbhag; Dong Eui Chang (IEEE Access, 2022)

Learning Flexible and Fair Data Representations. - Muhammad Usama; Dong Eui Chang (IEEE Access, 2022)

Unscented Kalman filter with stable embedding for simple, accurate and computationally efficient state estimation of systems on manifolds in Euclidean space. - Jae-Hyeon Park; Dong Eui Chang (CoRR, 2022)

Feedback Integrators for Mechanical Systems with Holonomic Constraints. - Dong Eui Chang; Matthew Perlmutter; Joris Vankerschaver (Sensors, 2022)

Model Predictive Regulation on Manifolds in Euclidean Space. - Karmvir Singh Phogat; Dong Eui Chang (Sensors, 2022)

A New Bundle Picture for the Drone. - Dong Eui Chang (IEEE Trans. Autom. Control., 2023)

Particle Filter with Stable Embedding for State Estimation of the Rigid Body Attitude System on the Set of Unit Quaternions. - Hee-Deok Jang; Jae-Hyeon Park; Dong Eui Chang (ICRA, 2024)

FocoTrack: Multi Object Tracking by Focusing On Overlap at Low Frame Rate. - Jae Hyeok Lee 001; Jae-Hyeon Park; Dong Eui Chang (ICRA, 2024)

Angular velocity and linear acceleration measurement bias estimators for the rigid body system with global exponential convergence. - Soham Shanbhag; Dong Eui Chang (CoRR, 2024)

Transversally exponentially stable Euclidean space extension technique for discrete time systems. - Soham Shanbhag; Dong Eui Chang (CoRR, 2024)

A New Paradigm for Dealing With Manifold Structures in Visual Inertial Odometry by Using Stable Embedding. - Jae-Hyeon Park; Sangbaek Yoo; Dong Eui Chang (IEEE Trans. Control. Syst. Technol., 2024)

Semi-Supervised Autoencoder for Chemical Gas Classification with FTIR Spectrum. - Hee-Deok Jang; Seokjoon Kwon; Hyunwoo Nam; Dong Eui Chang (Sensors, 2024)

Machine learning based state observer for discrete time systems evolving on Lie groups. - Soham Shanbhag; Dong Eui Chang (Eng. Appl. Artif. Intell., 2025)

Globally exponentially convergent observer for systems evolving on matrix Lie groups. - Soham Shanbhag; Dong Eui Chang (Math. Comput. Simul., 2025)

Learning High-Quality Latent Representations for Anomaly Detection and Signal Integrity Enhancement in High-Speed Signals. - Muhammad Usama; Hee-Deok Jang; Soham Shanbhag; Yoo-Chang Sung; Seung-Jun Bae; Dong Eui Chang (CoRR, 2025)

Deep Reinforcement Learning-Based DRAM Equalizer Parameter Optimization Using Latent Representations. - Muhammad Usama; Dong Eui Chang (CoRR, 2025)