Dong Eui Chang
Dong Eui Chang
Professor of Electrical Engineering, KAIST
Verified email at - Homepage
Cited by
Cited by
Controlled Lagrangians and the stabilization of mechanical systems. II. Potential shaping
AM Bloch, DE Chang, NE Leonard, JE Marsden
IEEE Transactions on Automatic Control 46 (10), 1556-1571, 2001
Collision avoidance for multiple agent systems
DE Chang, SC Shadden, JE Marsden, R Olfati-Saber
42nd IEEE International Conference on Decision and Control (IEEE Cat. Noá…, 2003
The equivalence of controlled Lagrangian and controlled Hamiltonian systems
DE Chang, AM Bloch, NE Leonard, JE Marsden, CA Woolsey
ESAIM: Control, Optimisation and Calculus of Variations 8, 393-422, 2002
Deep Neural Networks in a Mathematical Framework
AL Caterini, DE Chang
Springer, 2018
Lyapunov-based transfer between elliptic Keplerian orbits
DE Chang, DF Chichka, JE Marsden
Discrete and Continuous Dynamical Systems Series B 2 (1), 57-68, 2002
Controlled Lagrangian systems with gyroscopic forcing and dissipation
C Woolsey, CK Reddy, AM Bloch, DE Chang, NE Leonard, JE Marsden
European Journal of Control 10 (5), 478-496, 2004
Control bifurcations
AJ Krener, W Kang, DE Chang
IEEE Transactions on Automatic Control 49 (8), 1231-1246, 2004
Closed-form solutions in the electrical field analysis for dielectrophoretic and travelling wave inter-digitated electrode arrays
DE Chang, S Loire, I Mezić
Journal of physics D: applied physics 36 (23), 3073, 2003
Gyroscopic forces and collision avoidance with convex obstacles
DE Chang, JE Marsden
New trends in nonlinear dynamics and control and their applications, 145-159, 2004
Global chartwise feedback linearization of the quadcopter with a thrust positivity preserving dynamic extension
DE Chang, Y Eun
IEEE Transactions on Automatic Control 62 (9), 4747-4752, 2017
In situ UV curable 3D printing of multi-material tri-legged soft bot with spider mimicked multi-step forward dynamic gait
JZ Gul, BS Yang, YJ Yang, DE Chang, KH Choi
Smart Materials and Structures 25 (11), 115009, 2016
Interaction-aware kalman neural networks for trajectory prediction
C Ju, Z Wang, C Long, X Zhang, DE Chang
2020 IEEE Intelligent Vehicles Symposium (IV), 1793-1800, 2020
Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving
T Wang, DE Chang
arXiv preprint arXiv:1907.06838, 2019
Geometric visual servoing
NJ Cowan, DE Chang
IEEE Transactions on Robotics 21 (6), 1128-1138, 2005
Humidity sensor based on PEDOT: PSS and zinc stannate nano-composite
S Aziz, DE Chang, YH Doh, CU Kang, KH Choi
Journal of Electronic Materials 44, 3992-3999, 2015
Stabilizability of controlled Lagrangian systems of two degrees of freedom and one degree of under-actuation by the energy-shaping method
DE Chang
IEEE transactions on automatic control 55 (8), 1888-1893, 2010
Hybrid surface acoustic wave-electrohydrodynamic atomization (SAW-EHDA) for the development of functional thin films
KH Choi, HB Kim, K Ali, M Sajid, G Uddin Siddiqui, DE Chang, HC Kim, ...
Scientific Reports 5 (1), 15178, 2015
Control of Roll-to-Roll Web Systems via Differential Flatness and Dynamic Feedback Linearization
DE Chang, J LÚvine, J Jo, KH Choi
IEEE Transactions on Control Systems Technology 21 (4), 1309-1317, 2013
The method of controlled Lagrangians: Energy plus force shaping
DE Chang
SIAM Journal on Control and Optimization 48 (8), 4821-4845, 2010
Reduction of controlled Lagrangian and Hamiltonian systems with symmetry
DE Chang, JE Marsden
SIAM journal on control and optimization 43 (1), 277-300, 2004
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