Selected Publications

 

2007-2009

 

D. Sui, C.J. Ong and L Feng,  A framework for multiple robust explicit MPC controllers for linear systems, International Journal of Control, Vol. 82 no. 8, pp. 1414-1422, 2009

 

C. Wang, C.J. Ong and M. Sim, Model Predictive Control using Segregated Disturbance Feedback, to appear in IEEE Transaction of Automatic Control.

 

J.B. Yang, K.Q. Shen, C.J. Ong and X.P. Li, Feature Selection for MLP Neural Network: The use of Random Permutation of

Probabilistic Outputs, to appear in IEEE Transactions of Neural Network.

 

C. Wang, C.J. Ong and M. Sim, Convergence properties of Constrained Linear System under MPC control law using affine disturbance feedback, Technical Report C09-001, Dept. of Mechanical Engineering, a shortened version appears in Automatica, Vol. 45, no. 7 pp. 1715-1720, 2009

 

C.J. Ong, S.Y. Shao and J.B. Yang, An Improved Algorithm for the Solution of the regularization Path of Support Vector Machine, Technical Report C09-002, Dept. of Mechanical Engineering. More information on the method can be found here.

 

D. Sui, L Feng, C.J. Ong and M. Hovd, Decomposition Principle in Model Predictive Control for Linear Systems with Bounded Disturbances, Automatica, Vol 45, no. 8, 2009

 

E.G. Gilbert and C.J. Ong, Linear Systems with Hard Constraints and Variable Set Points: Their Robustly Invariant Sets, Technical Report C08-002, Dept. of Mechanical Engineering.

 

S. Shao, K. Shen, C. J. Ong, E P V Wilder-smith and X. P. Li, Automatic EEG Artifact Removal: A Weighted Support-Vector-Machine Approach With Error Correction. IEEE Transactions on Biomedical Engineering, 2008.

 

K. Q. Shen, X. P. Li, C. J. Ong, S. R. shao and E. P. V. Wilder-smith, EEG-based Mental Fatigue Measurement using Multi-Class Support Vector Machines with Confidence Estimate, Clinical Neurophysiology, 119/7, pp 1524-1533, 2008

 

K. Q. Shen, C.J. Ong, X. P. Li and E. P. V. Wilder-Smith, Feature Selection via Sentivity Analysis of SVM probabilistic outputs, Machine Learning Vol. 70, No.1 January 2008.

 

D. Sui, L Feng and C.J. Ong, Interpolated robust time-optimal controllers for linear systems, IET Control Theory and Applications, 2 no. 3, pp. 219-227, 2008

 

C. Wang, C.J. Ong and M. Sim, Constrained linear system with disturbance: stability under disturbance feedback Automatica, Vol. 44, no. 10, 2008

 

K. Q. Shen, C. J. Ong, X P Li, H. Zheng and E. P. V Wilder-smith, A Feature Selection Method for Multi-Level Mental Fatigue EEG Classification,  IEEE Transactions on Biomedical Engineering, 54/7, pp 1231-1237, 2007.

 

D. Sui and C.J. Ong, Constrained Piecewise Linear Systems with Disturbance: Controller Design via Convex Invariant Sets,  International Journal of Robust and Nonlinear Control, 18, no. 13, pp 1327-1347, 2007.

2004-2006

 

C.J. Ong and E. G. Gilbert, Constrained Linear Systems with disturbances: Enlargement of Their Maximal Invariant Sets by Nonlinear Feedback, Proceedings of 2006 American Control Conference, Minneapolis, June 14-16, 2006.

 

D. Sui and C.J. Ong, Multimode Model Predictive Controller for the constrained linear system with bounded disturbances, Proceedings of 2006 American Control Conference, Minneapolis, June 14-16, 2006.

 

L.J. Cao, S.S. Keerthi, C.J. Ong, U. Periyathamby, X.J. Fu, H.P. Lee and J.Q. Zhang, Parallel Sequential Minimal Optimization for the Optimization for the Training of Support Vector Machines, IEEE Transactions on Neural Networks, Vol. 17 No. 4, July 2006.

 

C.J. Ong, D. Sui and E. G. Gilbert, Enlarging the Terminal Region of Nonlinear Model Predictive Control using the Support Vector Machine Method, Vol. 42, pp. 1011-1016  Automatica 2006.

 

C.J. Ong and E. G. Gilbert, The Minimal Disturbance Invariant Set: Outer Approximations via Its Partial Sums, Vol. 42, pp 1563-1568, Automatica 2006.

 

W. Chu, C.J. Ong and S.S. Keerthi, An Improved Conjugate Gradient Scheme to the Solution of Least Squares SVM, IEEE Transactions on Neural Network, Vol. 16, No. 2,  498-500, 2005

 

W. Chu, S.S. Keethi, C.J. Ong and Zoubin Ghahramani, Bayesian Support Vector Machines for Feature Ranking and Selection, Features Extractions, Foundations and Applications, Springer Verlag, 2005.

 

C.J. Ong, Z. Zhang, E.G. Gilbert and S. Keerthi, Stability Region for Constrained Nonlinear Systems and Their Functional Characterization via Support-Vector-Machine Learning, Automatica Vol. 40, No.11, 1955-1964, 2004.

 

G.S Hu, C.J. Ong and C.L. Teo, Minimum-time control of crane with simultaneous traverse and hoist.  Journal of Optimization Theory and Applications, Vol. 120, No. 2, 2004.

 

M. Lee, S. Keerthi, C.J. Ong and D. DeCoste, An efficient method for Computing Leave-One-Out Error in Support Vector Machines with Guassian Kernels,  IEEE Transaction on Neural Network, Vol. 15, No. pp 750-757, 2004.

 

W. Chu, S.S. Keerthi and C.J. Ong, Bayesian inference in Support Vector Regression, IEEE Transaction on Neural Network, Vol. 15, No. pp 29-44, 2004.

2000-2003

 

W. Chu, S.S. Keerthi and C.J. Ong, Bayesian Trigonometric Support Vector Classifier, Neural Computation, 15, pp 2227-2254, September 2003.

 

 E.P. Chew, C.J. Ong and K.H. Lim, Variable Period Adaptive Genetic Algorithm, International Journal on Computers and Industrial Engineering, Vol. 42, 2-4, pp 353-360, June 2002

 

G.S. Hu, C.J. Ong and C.L. Teo, An enhanced transcribing scheme for the numerical solution of a class of optimal control problems, Engineering Optimization Vol. 34, No. 2, 2002.

 

CJ Ong and EG Gilbert, Fast Versions of the Gilbert-Johnson-Keerthi Distance Algorithm: Additional Results and Comparisons, IEEE Transactions on Robotics and Automation, Vol. 17, No. 4, 2001.

 

W Chu, S.Sathiya Keerthi and C. J. Ong, A unified loss function in Bayesian Framework for Support Vector regression, Proc. of Int. Conf. on Machine Learning, 2001.

 

C. J. Ong, E Huang and SM Hong, A Fast Growth Distance Algorithm for Incremental Motions, IEEE Transactions on Robotics and Automation, Vol. 16, No.6, 2000

1996-1999

 

S. Sathiya Keerthi, CJ Ong, Eugene Huang and EG Gilbert, "EquiDistance Diagram - A New Roadmap Method for Path Planning",  Proc. IEEE Conf. on Robotics and Automation, pp682-687, May 1999.

 

C.J. Ong and E.G. Gilbert, Robot Path Planning with Penetration Growth Distance, Journal of Robotic Systems 15(2) pp. 57-74 1998

 

Teo, C L, C J Ong and M Xu, Pulse input sequences for residual vibration reduction, Journal of Sound and Vibration, 211, no. 2 pp 157-177 1998.

 

C.J. Ong, On the Quantification of Penetration between General Objects, The International Journal of Robotics Research, Vol.16, No.3. 1997

 

C. J. Ong, Y.S.Wong, H.T.Loh and X.G.Hong, An Optimization Approach for Biarc Curve-Fitting of B-Spline, Computer-Aided Design, Vol. 28, No.12,  1996.

 

C. J. Ong, Computation of Penetration Between Smooth Convex Objects in Three-Dimensional Space, Journal of Robotic Systems, Vol. 13, No.5. 1996

 

C.J. Ong and EG Gilbert, Growth Distances: New Measures for Object Separation and Penetration,  IEEE Transactions on Robotics and Automation, Vol. 12, No. 6, Dec 1996