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ORCIDChong Jin Ong
Chong-Jin Ong
Person information
- affiliation: National University of Singapore / Singapore-MIT Alliance, Department of Mechanical Engineering, Singapore
- affiliation (PhD 1993): University of Michigan, Ann Arbor, MI, UDA
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2020 – today
- 2023
[j49]Zheming Wang
, Raphaël M. Jungers, Chong Jin Ong:
Computation of invariant sets via immersion for discrete-time nonlinear systems. Autom. 147: 110686 (2023)- [c43]Yibo Gao, Chong Jin Ong:
Circular Formation of General Linear Agents Using Output Feedback. CDC 2023: 2681-2686 - 2022
- [j48]Quanyi Liang, Chong-Jin Ong, Zhikun She:
Output consensusability of network with two-dimensional heterogeneous linear agents via static diffusive output feedback. Syst. Control. Lett. 159: 105084 (2022) - [c42]Chong Jin Ong, Ilayda Canyakmaz:
Consensus of Network of Unstable Homogeneous Linear Systems. CDC 2022: 1636-1641 - [i5]Chong Jin Ong, Ilayda Canyakmaz:
Consensus of Network of Homogeneous Agents with General Linear Dynamics. CoRR abs/2201.07532 (2022) - 2021
- [j47]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. Autom. 125: 109463 (2021) - [j46]Chong-Jin Ong, Bonan Hou:
Consensus of heterogeneous multi-agent system with input constraints. Autom. 134: 109895 (2021) - 2020
- [j45]Chong Jin Ong, Djati Wibowo Djamari, Bonan Hou:
A governor approach for consensus of heterogeneous systems with constraints under a switching network. Autom. 122: 109239 (2020) - [c41]Quanyi Liang, Chong-Jin Ong, Zhikun She:
Achieving output consensus of heterogeneous network of two dimensional agents via static diffusive controller. ACC 2020: 3343-3348 - [i4]Chong Jin Ong, Bonan Hou:
Consensus of Multi-agent System via Constrained Invariant Set of a class of Unstable System. CoRR abs/2009.06236 (2020) - [i3]Zheming Wang, Raphaël M. Jungers, Chong-Jin Ong:
Computation of invariant sets via immersion for discrete-time nonlinear systems. CoRR abs/2010.00974 (2020)
2010 – 2019
- 2019
- [c40]Chong Jin Ong, Djati Wibowo Djamari:
Consensus of Heterogeneous Systems with constraints in a Switching Network - A Governor Approach. CDC 2019: 3718-3723 - [c39]Zheming Wang, Raphaël M. Jungers, Chong-Jin Ong:
Computation of the maximal invariant set of linear systems with quasi-smooth nonlinear constraints. ECC 2019: 3803-3808 - [i2]Zheming Wang, Raphaël M. Jungers, Chong-Jin Ong:
Computation of the maximal invariant set of discrete-time systems subject to quasi-smooth non-convex constraints. CoRR abs/1912.09727 (2019) - 2018
- [j44]Zheming Wang, Chong Jin Ong:
Speeding up finite-time consensus via minimal polynomial of a weighted graph - A numerical approach. Autom. 93: 415-421 (2018) - [j43]Zheming Wang, Chong-Jin Ong:
Accelerated Distributed MPC of Linear Discrete-Time Systems With Coupled Constraints. IEEE Trans. Autom. Control. 63(11): 3838-3849 (2018) - 2017
- [j42]Zheming Wang, Chong Jin Ong:
Distributed Model Predictive Control of linear discrete-time systems with local and global constraints. Autom. 81: 184-195 (2017) - [c38]Zheming Wang, Chong Jin Ong:
A fast dual gradient algorithm for distributed model predictive control with coupled constraints. CDC 2017: 6183-6188 - [i1]Zheming Wang, Chong Jin Ong:
Speeding up finite-time consensus via minimal polynomial of a weighted graph - a numerical approach. CoRR abs/1707.07380 (2017) - 2016
- [j41]Shengfeng Zhou, Mou Chen, Chong Jin Ong, Peter C. Y. Chen:
Adaptive neural network control of uncertain MIMO nonlinear systems with input saturation. Neural Comput. Appl. 27(5): 1317-1325 (2016) - [j40]Zheming Wang, Chong Jin Ong:
Distributed MPC of constrained linear systems with time-varying terminal sets. Syst. Control. Lett. 88: 14-23 (2016) - [j39]Chong Jin Ong, Zheming Wang, Masood Dehghan:
Model Predictive Control for Switching Systems With Dwell-Time Restriction. IEEE Trans. Autom. Control. 61(12): 4189-4195 (2016) - [c37]Zheming Wang, Chong Jin Ong, Geok-Soon Hong:
Distributed Model Predictive Control of linear discrete-time systems with coupled constraints. CDC 2016: 5226-5231 - [c36]Chao Qu, Huan Xu, Chong Jin Ong:
Fast Rate Analysis of Some Stochastic Optimization Algorithms. ICML 2016: 662-670 - 2015
- [c35]Zheming Wang, Chong Jin Ong:
Distributed MPC of constrained linear systems with online decoupling of the terminal constraint. ACC 2015: 2942-2947 - [c34]Chong Jin Ong, Zheming Wang, Masood Dehghan:
Characterization of switching sequences on system with dwell-time restriction for Model Predictive Control. CDC 2015: 3657-3662 - 2014
- [j38]Chong Jin Ong, Zheming Wang:
Reducing variables in Model Predictive Control of linear system with disturbances using singular value decomposition. Syst. Control. Lett. 71: 62-68 (2014) - 2013
- [j37]Masood Dehghan, Chong Jin Ong:
Computations of mode-dependent dwell times for discrete-time switching system. Autom. 49(6): 1804-1808 (2013) - [j36]Dan Zhang, Li Yu, Qing-Guo Wang, Chong Jin Ong:
Corrections to: "Estimator Design for Discrete-Time Switched Neural Networks With Asynchronous Switching and Time-Varying Delay". IEEE Trans. Neural Networks Learn. Syst. 24(11): 1906 (2013) - [c33]Chang Sun, Chong Jin Ong, Jacob K. White:
Consensus control of multi-agent system with constraint - the scalar case. CDC 2013: 7345-7350 - 2012
- [j35]Masood Dehghan, Chong Jin Ong:
Discrete-time switching linear system with constraints: Characterization and computation of invariant sets under dwell-time consideration. Autom. 48(5): 964-969 (2012) - [j34]Masood Dehghan, Chong Jin Ong:
Characterization and computation of disturbance invariant sets for constrained switched linear systems with dwell time restriction. Autom. 48(9): 2175-2181 (2012) - [j33]Dan Zhang, Li Yu, Qing-Guo Wang, Chong Jin Ong, Zheng-Guang Wu:
Exponential H∞ filtering for discrete-time switched singular systems with time-varying delays. J. Frankl. Inst. 349(7): 2323-2342 (2012) - [j32]Dan Zhang, Li Yu, Qing-Guo Wang, Chong Jin Ong:
Estimator Design for Discrete-Time Switched Neural Networks With Asynchronous Switching and Time-Varying Delay. IEEE Trans. Neural Networks Learn. Syst. 23(5): 827-834 (2012) - [j31]Jian-Bo Yang, Chong Jin Ong:
An Effective Feature Selection Method via Mutual Information Estimation. IEEE Trans. Syst. Man Cybern. Part B 42(6): 1550-1559 (2012) - [c32]Chong Jin Ong:
Model Predictive Control with reduced number of variables for linear systems with bounded disturbances. CDC 2012: 3258-3263 - 2011
- [j30]Elmer G. Gilbert, Chong Jin Ong:
Constrained linear systems with hard constraints and disturbances: An extended command governor with large domain of attraction. Autom. 47(2): 334-340 (2011) - [j29]Jian-Bo Yang, Chong Jin Ong:
Determination of Global Minima of Some Common Validation Functions in Support Vector Machine. IEEE Trans. Neural Networks 22(4): 654-659 (2011) - [j28]Jian-Bo Yang, Chong Jin Ong:
Feature Selection Using Probabilistic Prediction of Support Vector Regression. IEEE Trans. Neural Networks 22(6): 954-962 (2011) - [c31]Masood Dehghan, Chong-Jin Ong, Peter C. Y. Chen:
Enlarging domain of attraction of switched linear systems in the presence of saturation nonlinearity. ACC 2011: 1994-1999 - [c30]Masood Dehghan, Chong Jin Ong, Peter C. Y. Chen:
Characterization and computation of robust invariant sets for switching systems under dwell-time consideration. CDC/ECC 2011: 1166-1171 - [c29]Masood Dehghan, Chong Jin Ong, Peter C. Y. Chen:
Discrete-time switched linear system with constraints: Characterization and computation of invariant sets under dwell-time consideration. CDC/ECC 2011: 5473-5478 - 2010
- [j27]Chen Wang, Chong Jin Ong:
Distributed model predictive control of dynamically decoupled systems with coupled cost. Autom. 46(12): 2053-2058 (2010) - [j26]Chen Wang, Chong Jin Ong, Melvyn Sim:
Model Predictive Control Using Segregated Disturbance Feedback. IEEE Trans. Autom. Control. 55(4): 831-840 (2010) - [j25]Chong Jin Ong, Shiyun Shao, Jianbo Yang:
An improved algorithm for the solution of the regularization path of support vector machine. IEEE Trans. Neural Networks 21(3): 451-462 (2010) - [c28]Shengfeng Zhou, Peter C. Y. Chen, Zhe Lu, Joo Hoo Nam, Hong Luo, Ruowen Ge, Chong Jin Ong, Wei Lin:
Speed optimization for micropipette motion during zebrafish embryo microinjection. ICARCV 2010: 364-369 - [c27]Jian-Bo Yang, Chong Jin Ong:
Feature selection for support vector regression using probabilistic prediction. KDD 2010: 343-352
2000 – 2009
- 2009
- [j24]Chen Wang, Chong Jin Ong, Melvyn Sim:
Convergence properties of constrained linear system under MPC control law using affine disturbance feedback. Autom. 45(7): 1715-1720 (2009) - [j23]Dan Sui, Le Feng, Morten Hovd, Chong Jin Ong:
Decomposition principle in model predictive control for linear systems with bounded disturbances. Autom. 45(8): 1917-1922 (2009) - [j22]Dan Sui, Chong Jin Ong, Le Feng:
A framework for multiple robust explicit MPC controllers for linear systems. Int. J. Control 82(8): 1414-1422 (2009) - [j21]Shiyun Shao, Kai Quan Shen, Chong Jin Ong, Einar P. V. Wilder-Smith, Xiaoping Li:
Automatic EEG Artifact Removal: A Weighted Support Vector Machine Approach With Error Correction. IEEE Trans. Biomed. Eng. 56(2): 336-344 (2009) - [j20]Jian-Bo Yang, Kai Quan Shen, Chong Jin Ong, Xiaoping Li:
Feature Selection for MLP Neural Network: The Use of Random Permutation of Probabilistic Outputs. IEEE Trans. Neural Networks 20(12): 1911-1922 (2009) - [c26]Chen Wang, Chong Jin Ong, Melvyn Sim:
Linear systems with chance constraints: Constraint-admissible set and applications in predictive control. CDC 2009: 2875-2880 - [c25]Chen Wang, Chong Jin Ong, Melvyn Sim:
Distributed model predictive control of dynamically decoupled linear systems with coupled cost. CDC 2009: 5420-5425 - [c24]Elmer G. Gilbert, Chong Jin Ong:
An extended command governor for constrained linear systems with disturbances. CDC 2009: 6929-6934 - 2008
- [j19]Chen Wang, Chong Jin Ong, Melvyn Sim:
Constrained linear system with disturbance: Convergence under disturbance feedback. Autom. 44(10): 2583-2587 (2008) - [j18]Kai Quan Shen, Chong Jin Ong, Xiaoping Li, Einar P. V. Wilder-Smith:
Feature selection via sensitivity analysis of SVM probabilistic outputs. Mach. Learn. 70(1): 1-20 (2008) - [c23]Chen Wang, Chong-Jin Ong, Melvyn Sim:
Model predictive control using segregated disturbance feedback. ACC 2008: 3566-3571 - [c22]Chen Wang, Chong Jin Ong, Melvyn Sim:
Constrained linear system under disturbance feedback: Convergence with probability one. CDC 2008: 2820-2825 - [c21]Jian-Bo Yang, Kai Quan Shen, Chong Jin Ong, Xiaoping Li:
Feature selection via sensitivity analysis of MLP probabilistic outputs. SMC 2008: 774-779 - [c20]Kai Quan Shen, Chong Jin Ong, Xiaoping Li, Einar P. V. Wilder-Smith:
Novel multi-class feature selection methods using sensitivity analysis of posterior probabilities. SMC 2008: 1116-1121 - [c19]Shiyun Shao, Kai Quan Shen, Chong Jin Ong, Xiaoping Li, Einar P. V. Wilder-Smith:
Automatic identification and removal of artifacts in EEG using a probabilistic multi-class SVM approach with error correction. SMC 2008: 1134-1139 - [c18]Masood Dehghan, Chong Jin Ong, Peter C. Y. Chen:
Anti-windup design using auxiliary input for constrained linear systems. SMC 2008: 3226-3231 - 2007
- [j17]Kai Quan Shen, Chong Jin Ong, Xiaoping Li, Hui Zheng, Einar P. V. Wilder-Smith:
A Feature Selection Method for Multilevel Mental Fatigue EEG Classification. IEEE Trans. Biomed. Eng. 54(7): 1231-1237 (2007) - [c17]Dan Sui, Chong Jin Ong:
Interpolated Model Predictive Controller for Linear Systems with Bounded Disturbances. ACC 2007: 4458-4463 - [c16]Dan Sui, Chong Jin Ong:
Computation of Polytopal Invariant Sets of PWL Systems with Bounded Disturbances. ACC 2007: 4655-4659 - [c15]Chen Wang, Chong Jin Ong, Melvyn Sim:
Model predictive control using affine disturbance feedback for constrained linear system. CDC 2007: 1275-1280 - 2006
- [j16]Chong Jin Ong, Dan Sui, Elmer G. Gilbert:
Enlarging the terminal region of nonlinear model predictive control using the support vector machine method. Autom. 42(6): 1011-1016 (2006) - [j15]Chong Jin Ong, Elmer G. Gilbert:
The minimal disturbance invariant set: Outer approximations via its partial sums. Autom. 42(9): 1563-1568 (2006) - [j14]Lijuan Cao, S. Sathiya Keerthi, Chong Jin Ong, P. Uvaraj, Xiu Ju Fu, H. P. Lee:
Developing parallel sequential minimal optimization for fast training support vector machine. Neurocomputing 70(1-3): 93-104 (2006) - [j13]Lijuan Cao, S. Sathiya Keerthi, Chong Jin Ong, J. Q. Zhang, U. Periyathamby, Xiu Ju Fu, H. P. Lee:
Parallel sequential minimal optimization for the training of support vector machines. IEEE Trans. Neural Networks 17(4): 1039-1049 (2006) - [c14]Chong-Jin Ong:
Constrained linear systems with disturbances: enlargement of their maximal invariant sets by nonlinear feedback. ACC 2006: 1-6 - [c13]Dan Sui, Chong Jin Ong:
Multi-mode model predictive controller for constrained linear systems with bounded disturbances. ACC 2006 - [c12]Chee-Kong Chui, Swee-Hin Teoh, Chong Jin Ong, James H. Anderson, Ichiro Sakuma:
Integrative Modeling of Liver Organ for Simulation of Flexible Needle Insertion. ICARCV 2006: 1-6 - [c11]Dan Sui, Chong Jin Ong:
Outer Approximation of the Minimal Disturbance Invariant Set of PWL Systems with Bounded Disturbances. ICARCV 2006: 1-5 - [c10]Kai Quan Shen, Chong Jin Ong, Xiaoping Li, Hui Zheng, Einar P. V. Wilder-Smith:
Feature Selection Using SVM Probabilistic Outputs. ICONIP (1) 2006: 782-791 - [p1]Wei Chu, S. Sathiya Keerthi, Chong Jin Ong, Zoubin Ghahramani:
Bayesian Support Vector Machines for Feature Ranking and Selection. Feature Extraction 2006: 403-418 - 2005
- [j12]Wei Chu, Chong Jin Ong, S. Sathiya Keerthi:
An improved conjugate gradient scheme to the solution of least squares SVM. IEEE Trans. Neural Networks 16(2): 498-501 (2005) - [c9]Chong Jin Ong, Elmer G. Gilbert:
Outer Approximations of The Minimal Disturbance Invariant Set. CDC/ECC 2005: 1678-1682 - 2004
- [j11]Chong Jin Ong, S. Sathiya Keerthi, Elmer G. Gilbert, Z. H. Zhang:
Stability regions for constrained nonlinear systems and their functional characterization via support-vector-machine learning. Autom. 40(11): 1955-1964 (2004) - [j10]Wei Chu, S. Sathiya Keerthi, Chong Jin Ong:
Bayesian support vector regression using a unified loss function. IEEE Trans. Neural Networks 15(1): 29-44 (2004) - [j9]Martin M. S. Lee, S. Sathiya Keerthi, Chong Jin Ong, Dennis DeCoste:
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels. IEEE Trans. Neural Networks 15(3): 750-757 (2004) - 2003
- [j8]Wei Chu, S. Sathiya Keerthi, Chong Jin Ong:
Bayesian Trigonometric Support Vector Classifier. Neural Comput. 15(9): 2227-2254 (2003) - [c8]Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh, S. Sathiya Keerthi, Chong Jin Ong:
A Machine Learning Approach for the Curation of Biomedical Literature. ECIR 2003: 597-604 - 2002
- [j7]S. Sathiya Keerthi, Chong Jin Ong, Keng Boon Siah, David B. L. Lim, Wei Chu, Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh:
A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1). SIGKDD Explor. 4(2): 93-94 (2002) - 2001
- [j6]Chong Jin Ong, Elmer G. Gilbert:
Fast versions of the Gilbert-Johnson-Keerthi distance algorithm: additional results and comparisons. IEEE Trans. Robotics Autom. 17(4): 531-539 (2001) - [c7]Wei Chu, S. Sathiya Keerthi, Chong Jin Ong:
A Unified Loss Function in Bayesian Framework for Support Vector Regression. ICML 2001: 51-58 - 2000
- [j5]Chong Jin Ong, Eugene Huang, Sun-Mog Hong:
A fast growth distance algorithm for incremental motions. IEEE Trans. Robotics Autom. 16(6): 880-890 (2000)
1990 – 1999
- 1999
- [c6]S. Sathiya Keerthi, Chong Jin Ong, Eugene Huang, Elmer G. Gilbert:
EquiDistance Diagram: A New Roadmap Method for Path Planning. ICRA 1999: 682-687 - 1998
- [j4]Chong Jin Ong, Elmer G. Gilbert:
Robot path planning with penetration growth distance. J. Field Robotics 15(2): 57-74 (1998) - [c5]Chong Jin Ong, Eugene Huang:
An Incremental Version of Growth Distance. ICRA 1998: 3671-3677 - 1997
- [j3]Chong Jin Ong:
On the Quantification of Penetration between General Objects. Int. J. Robotics Res. 16(3): 400-409 (1997) - [c4]Chong Jin Ong, Elmer G. Gilbert:
The Gilbert-Johnson-Keerthi distance algorithm: a fast version for incremental motions. ICRA 1997: 1183-1189 - 1996
- [j2]Chong Jin Ong:
Computation of penetration between smooth convex objects in three-dimensional space. J. Field Robotics 13(5): 303-315 (1996) - [j1]Chong Jin Ong, Elmer G. Gilbert:
Growth distances: new measures for object separation and penetration. IEEE Trans. Robotics Autom. 12(6): 888-903 (1996) - [c3]Chong Jin Ong:
Distance computation between smooth convex objects. ICRA 1996: 785-790 - 1994
- [c2]Elmer G. Gilbert, Chong Jin Ong:
New Distances for the Separation and Penetration of Objects. ICRA 1994: 579-586 - [c1]Chong Jin Ong, Elmer G. Gilbert:
Robot Path Planning with Penetration Growth Distance. ICRA 1994: 2146-2152
Coauthor Index
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