Invited Presentations
Invited Presentation on MPC to Ford Research Lab in Dearborn, USA (29 May to 9 June 2006).
Invited Presentation on Robust Control to Minghsin University of Science and Technology, (12 to 17 November 2007).
Invited Presentation to Robotics Institute, Harbin Institute of Technology, China (from 21 to 24 December 2009) on Robust Controller Design.
Invited Presentation to School of Automation, Beijing Information Science and Technology University, (22 to 25 November 2009).
Invited speaker for for Asia Pacific Magnetic Research Conference, 2013.
Invited Presentation on Model Predictive Control at Imperial College of Science and Technology in 2014.
Keynote speaker on Control Conference in Northwestern Polytechnic University in Xi'an, China July, 2019.
Invited Presentation on Invariant Spaces to the Department of Mathematical Engineering, Université catholique de Louvain in Belgium 2019.
Keynote speaker at the Global Experts meet on Mechanical Engineering and Mechatronics (GEMMEM-22), July 28, Netherlands 2022.
Selected Publications on Control Theory and MPC
Yibo Gao and Chong Jin Ong, Circular Formation of General Linear Agents using Output Feedback, to appear in Conference of Decision and Control, Singapore, December 2023.
Zheming Wang, Raphaël M. Jungers, Chong-Jin Ong, Computation of invariant sets via immersion for discrete-time nonlinear systems, Automatica
Volume 147, January 2023, 110686
Chong Jin Ong and Ilyada Canyakmaz, Consensus of Network of Unstable Homogeneous Linear Systems, Conference of Decision and Control, Cancun, December 2022.
Chong Jin Ong and Bonan Hou, Consensus of Heterogeneous Multi-agent system with input constraints, Automatica Vol. 134, December 2021, 109895.
Zheming Wang, Raphaël M. Jungers, Chong-Jin Ong, Computation of the maximal invariant set of discrete-time linear systems subject to a class of non-convex constraints, Automatica Volume 125, March 2021.
Quanyi Liang, Chong Jin Ong, Zhikun She, On the Asymptotic Stability of Directed Nonlinear Multiagent Network via Nonlinear Control Protocol, 21st IFAC World Congress, IFAC-PapersOnLine, Volume 53, Issue 2, 2020, Pages 2933-2937
Quanyi Liang, Chong Jin Ong, Zhikun She, Sum-of-squares–based consensus verification for directed networks with nonlinear protocols, Int. J. of Robust and Nonlinear Control, Volume30, Issue4, Pages 1719-1732, March 2020
Chong Jin Ong, Djati Wibowo Djamari and Bonan Hou, A Governor Approach for Consensus of Heterogeneous Systems with Constraints under a Switching Network, Automatica Vol. 122 December 2020 .
Zheming Wang and Chong Jin Ong Accelerated Distributed MPC of Linear Discrete-Time Systems with Coupled Constraints, IEEE Transaction on Automatic Control, Vol. 63, No. 11, Pages 3838-3849, 2018
Zheming Wang and Chong Jin Ong Speeding up finite-time consensus via minimal polynomial of a weighted graph - a numerical approach, Automatica Vol. 93, Pages 415-421, 2018
Zheming Wang and Chong Jin Ong Distributed Model Predictive Control of Linear Discrete-Time Systems with Local and Global Constraints Automatica,Vol. 81, July 2017, Pages 184-195
Chong-Jin Ong, Zheming Wang, Masood Dehghan Model Predictive Control for Switching Systems with Dwell-time Restriction IEEE Transactions on Automatic Control, Vol. 61, No. 12, page 4189-4195, December 2016.
Zheming Wang, Chong Jin Ong, Distributed MPC of Constrained Linear Systems with Time-varying Terminal Sets Systems and Control Letters, Volume 88, February 2016, Pages 14-23.
Chong Jin Ong, Reducing variables of Model Predictive Control of Linear System via Singular Value Decomposition Technical Report C13-001, Dept. of Mechanical Engineering. A shortened version appears in Systems and Control Letters, Volume 71, September 2014, Pages 62-68.
Masood Dehghan, Chong Jin Ong, Computations of Mode-dependent Dwell Times for Discrete-Time Switching System Automatica, vol. 49, Issue 6, June 2013 pp 1804-1808.
Masood Dehghan, Chong Jin Ong, Characterization and computation of disturbance invariant sets for switched linear systems with dwell time restriction Automatica, vol. 48, Issue 9, September 2012, Pages 2175-2181.
Masood Dehghan, Chong-Jin Ong, Discrete-time switching linear system with constraints: characterization and computation of invariant sets under dwell-time consideration, Automatica, vol. 48, Issue 5, May 2012, Pages 964-969.
C. Wang and C.J. Ong, Constraint-admissible sets for systems with soft constraints and their application in Model Predictive Control International Journal of Robust and Nonlinear Control, Volume 22, Issue 11, pages 1229-1243, 25 July 2012.
E. G. Gilbert and C.J. Ong, Constrained Linear Systems with Hard Constraints and Disturbances: An Extended Command Governor with Large Domain of Attraction, Automatica, Volume 47, Issue 2, February 2011, Pages 334-340
C. Wang and C.J. Ong, Distributed Model Predictive Control of Dynamically Decoupled Systems with Coupled Cost, Automatica, Vol. 46, Issue 12, December 2010, Pages 2053-2058
C. Wang, C.J. Ong and M. Sim, Model Predictive Control using Segregated Disturbance Feedback, IEEE Transactions of Automatic Control, 55, no. 4 (2010): 831-840, 2010
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, 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
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.
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
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.
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 theconstrained linear system with bounded disturbances, Proceedings of 2006 American Control Conference, Minneapolis, June 14-16, 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.
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, 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.
Selected Publications on Support Vector Machine and Data Mining
J.B. Yang and C.J. Ong, Feature Selection using Probabilistic Prediction of Support Vector Regression, IEEE Transactions of Neural Networks, 22, no. 6, 2011.
J.B. Yang and C.J. Ong, Determination of Global Minima of Some Common Validation Functions in Support Vector Machine, IEEE Transactions of Neural Networks, 22, no. 4, pp 654-659, 2011.
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. A shortened version appears in IEEE Transactions on Neural Networks, Vol. 21, No. 3, pp451-462, 2010. More information, including a matlab implementation, on the method can be found here.
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 , IEEE Transactions of Neural Network, Vol. 20, no. 12, pp. 1911-1922, 2009.
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, Vol.56, no. 2, pp 336-344, 2009.
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.
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, Vol. 54, no. 7, pp 1231-1237, 2007.
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.
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.
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 Transactions on Neural Network, Vol. 15, No. pp 750-757, 2004.
W. Chu, S.S. Keerthi and C.J. Ong, Bayesian support vector regression using a unified loss function, IEEE Transactions on Neural Networks, Vol. 15, no. 1,pp 29-44, 2004.
W. Chu, S.S. Keerthi and C.J. Ong, Bayesian Trigonometric Support Vector Classifier, Neural Computation, 15, pp 2227-2254, September 2003.
Selected Publications on Proximal Distance Computation and Path Planning
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.
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
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. More information on this work can be found here.
C.J. Ong and E.G. Gilbert, Robot Path Planning with Penetration Growth Distance, Journal of Robotic Systems 15(2) pp. 57-74 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, 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
Selected Publications on Control for Flexible System and Others
Hu, G S, C J Ong and C L Teo, Minimum-time control of crane with simultaneous traverse and hoist. Journal of Optimization Theory and Applications, 120, no. 2, 2004
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.
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, 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.