Chong Jin Ong

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 17

Top Topics

Convex Constraints

Stochastic Optimization

Top Venues

Syst. Control. Lett.

Publications

Zheming Wang, Raphaël M. Jungers, Chong Jin Ong
Computation of invariant sets via immersion for discrete-time nonlinear systems. Autom. 147 (2023)
Yibo Gao, Chong Jin Ong
Circular Formation of General Linear Agents Using Output Feedback. CDC (2023)
Chong Jin Ong, Ilayda Canyakmaz
Consensus of Network of Unstable Homogeneous Linear Systems. CDC (2022)
Chong Jin Ong, Ilayda Canyakmaz
Consensus of Network of Homogeneous Agents with General Linear Dynamics. CoRR (2022)
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 (2021)
Chong Jin Ong, Bonan Hou
Consensus of Multi-agent System via Constrained Invariant Set of a class of Unstable System. CoRR (2020)
Chong Jin Ong, Djati Wibowo Djamari, Bonan Hou
A governor approach for consensus of heterogeneous systems with constraints under a switching network. Autom. 122 (2020)
Chong Jin Ong, Djati Wibowo Djamari
Consensus of Heterogeneous Systems with constraints in a Switching Network - A Governor Approach. CDC (2019)
Zheming Wang, Chong Jin Ong
Speeding up finite-time consensus via minimal polynomial of a weighted graph - A numerical approach. Autom. 93 (2018)
Zheming Wang, Chong Jin Ong
Distributed Model Predictive Control of linear discrete-time systems with local and global constraints. Autom. 81 (2017)
Zheming Wang, Chong Jin Ong
Speeding up finite-time consensus via minimal polynomial of a weighted graph - a numerical approach. CoRR (2017)
Zheming Wang, Chong Jin Ong
A fast dual gradient algorithm for distributed model predictive control with coupled constraints. CDC (2017)
Chao Qu, Huan Xu, Chong Jin Ong
Fast Rate Analysis of Some Stochastic Optimization Algorithms. ICML (2016)
Chong Jin Ong, Zheming Wang, Masood Dehghan
Model Predictive Control for Switching Systems With Dwell-Time Restriction. IEEE Trans. Autom. Control. 61 (12) (2016)
Zheming Wang, Chong Jin Ong, Geok-Soon Hong
Distributed Model Predictive Control of linear discrete-time systems with coupled constraints. CDC (2016)
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) (2016)
Zheming Wang, Chong Jin Ong
Distributed MPC of constrained linear systems with time-varying terminal sets. Syst. Control. Lett. 88 (2016)
Zheming Wang, Chong Jin Ong
Distributed MPC of constrained linear systems with online decoupling of the terminal constraint. ACC (2015)
Chong Jin Ong, Zheming Wang, Masood Dehghan
Characterization of switching sequences on system with dwell-time restriction for Model Predictive Control. CDC (2015)
Chong Jin Ong, Zheming Wang
Reducing variables in Model Predictive Control of linear system with disturbances using singular value decomposition. Syst. Control. Lett. 71 (2014)
Chang Sun, Chong Jin Ong, Jacob K. White
Consensus control of multi-agent system with constraint - the scalar case. CDC (2013)
Masood Dehghan, Chong Jin Ong
Computations of mode-dependent dwell times for discrete-time switching system. Autom. 49 (6) (2013)
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) (2013)
Jian-Bo Yang, Chong Jin Ong
An Effective Feature Selection Method via Mutual Information Estimation. IEEE Trans. Syst. Man Cybern. Part B 42 (6) (2012)
Masood Dehghan, Chong Jin Ong
Characterization and computation of disturbance invariant sets for constrained switched linear systems with dwell time restriction. Autom. 48 (9) (2012)
Dan Zhang, Li Yu, Qing-Guo Wang, Chong Jin Ong, Zheng-Guang Wu
filtering for discrete-time switched singular systems with time-varying delays. J. Frankl. Inst. 349 (7) (2012)
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) (2012)
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) (2012)
Chong Jin Ong
Model Predictive Control with reduced number of variables for linear systems with bounded disturbances. CDC (2012)
Jian-Bo Yang, Chong Jin Ong
Feature Selection Using Probabilistic Prediction of Support Vector Regression. IEEE Trans. Neural Networks 22 (6) (2011)
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) (2011)
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)
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)
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) (2011)
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)
Chen Wang, Chong Jin Ong
Distributed model predictive control of dynamically decoupled systems with coupled cost. Autom. 46 (12) (2010)
Jian-Bo Yang, Chong Jin Ong
Feature selection for support vector regression using probabilistic prediction. KDD (2010)
Chen Wang, Chong Jin Ong, Melvyn Sim
Model Predictive Control Using Segregated Disturbance Feedback. IEEE Trans. Autom. Control. 55 (4) (2010)
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) (2010)
Dan Sui, Chong Jin Ong, Le Feng
A framework for multiple robust explicit MPC controllers for linear systems. Int. J. Control 82 (8) (2009)
Elmer G. Gilbert, Chong Jin Ong
An extended command governor for constrained linear systems with disturbances. CDC (2009)
Chen Wang, Chong Jin Ong, Melvyn Sim
Distributed model predictive control of dynamically decoupled linear systems with coupled cost. CDC (2009)
Chen Wang, Chong Jin Ong, Melvyn Sim
Convergence properties of constrained linear system under MPC control law using affine disturbance feedback. Autom. 45 (7) (2009)
Dan Sui, Le Feng, Morten Hovd, Chong Jin Ong
Decomposition principle in model predictive control for linear systems with bounded disturbances. Autom. 45 (8) (2009)
Shiyun Shao, Kai Quan Shen, Chong Jin Ong, Einar P. V. Wilder-Smith, Xiao Ping Li
Automatic EEG Artifact Removal: A Weighted Support Vector Machine Approach With Error Correction. IEEE Trans. Biomed. Eng. 56 (2) (2009)
Jian-Bo Yang, Kai Quan Shen, Chong Jin Ong, Xiao Ping Li
Feature Selection for MLP Neural Network: The Use of Random Permutation of Probabilistic Outputs. IEEE Trans. Neural Networks 20 (12) (2009)
Chen Wang, Chong Jin Ong, Melvyn Sim
Linear systems with chance constraints: Constraint-admissible set and applications in predictive control. CDC (2009)
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar P. V. Wilder-Smith
Novel multi-class feature selection methods using sensitivity analysis of posterior probabilities. SMC (2008)
Masood Dehghan, Chong Jin Ong, Peter C. Y. Chen
Anti-windup design using auxiliary input for constrained linear systems. SMC (2008)
Chen Wang, Chong Jin Ong, Melvyn Sim
Constrained linear system with disturbance: Convergence under disturbance feedback. Autom. 44 (10) (2008)
Chen Wang, Chong Jin Ong, Melvyn Sim
Constrained linear system under disturbance feedback: Convergence with probability one. CDC (2008)
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar P. V. Wilder-Smith
Feature selection via sensitivity analysis of SVM probabilistic outputs. Mach. Learn. 70 (1) (2008)
Shiyun Shao, Kai Quan Shen, Chong Jin Ong, Xiao Ping 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)
Jian-Bo Yang, Kai Quan Shen, Chong Jin Ong, Xiao Ping Li
Feature selection via sensitivity analysis of MLP probabilistic outputs. SMC (2008)
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Hui Zheng, Einar P. V. Wilder-Smith
A Feature Selection Method for Multilevel Mental Fatigue EEG Classification. IEEE Trans. Biomed. Eng. 54 (7) (2007)
D. Sui, Chong Jin Ong
Computation of Polytopal Invariant Sets of PWL Systems with Bounded Disturbances. ACC (2007)
D. Sui, Chong Jin Ong
Interpolated Model Predictive Controller for Linear Systems with Bounded Disturbances. ACC (2007)
Chen Wang, Chong Jin Ong, Melvyn Sim
Model predictive control using affine disturbance feedback for constrained linear system. CDC (2007)
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) (2006)
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) (2006)
Chong Jin Ong, Elmer G. Gilbert
The minimal disturbance invariant set: Outer approximations via its partial sums. Autom. 42 (9) (2006)
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Hui Zheng, Einar P. V. Wilder-Smith
Feature Selection Using SVM Probabilistic Outputs. ICONIP (1) (2006)
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) (2006)
Dan Sui, Chong Jin Ong
Outer Approximation of the Minimal Disturbance Invariant Set of PWL Systems with Bounded Disturbances. ICARCV (2006)
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)
D. Sui, Chong Jin Ong
Multi-mode model predictive controller for constrained linear systems with bounded disturbances. ACC (2006)
Chong Jin Ong, Elmer G. Gilbert
Outer Approximations of The Minimal Disturbance Invariant Set. CDC/ECC (2005)
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) (2005)
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) (2004)
Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
Bayesian support vector regression using a unified loss function. IEEE Trans. Neural Networks 15 (1) (2004)
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) (2004)
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)
Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
Bayesian Trigonometric Support Vector Classifier. Neural Comput. 15 (9) (2003)
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) (2002)
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) (2001)
Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
A Unified Loss Function in Bayesian Framework for Support Vector Regression. ICML (2001)
Chong Jin Ong, Eugene Huang, Sun-Mog Hong
A fast growth distance algorithm for incremental motions. IEEE Trans. Robotics Autom. 16 (6) (2000)
S. Sathiya Keerthi, Chong Jin Ong, Eugene Huang, Elmer G. Gilbert
EquiDistance Diagram: A New Roadmap Method for Path Planning. ICRA (1999)
Chong Jin Ong, Elmer G. Gilbert
Robot path planning with penetration growth distance. J. Field Robotics 15 (2) (1998)
Chong Jin Ong, Eugene Huang
An Incremental Version of Growth Distance. ICRA (1998)
Chong Jin Ong, Elmer G. Gilbert
The Gilbert-Johnson-Keerthi distance algorithm: a fast version for incremental motions. ICRA (1997)
Chong Jin Ong
On the Quantification of Penetration between General Objects. Int. J. Robotics Res. 16 (3) (1997)
Chong Jin Ong
Distance computation between smooth convex objects. ICRA (1996)
Chong Jin Ong, Elmer G. Gilbert
Growth distances: new measures for object separation and penetration. IEEE Trans. Robotics Autom. 12 (6) (1996)
Chong Jin Ong
Computation of penetration between smooth convex objects in three-dimensional space. J. Field Robotics 13 (5) (1996)
Chong Jin Ong, Elmer G. Gilbert
Robot Path Planning with Penetration Growth Distance. ICRA (1994)
Elmer G. Gilbert, Chong Jin Ong
New Distances for the Separation and Penetration of Objects. ICRA (1994)