Chong Jin Ong

91 papers A* 9A 1B 5C 7Journal 51Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Output Consensus on Periodic References for Constrained Multi-agent Systems Under a Switching Network.
CoRR
Shibo Han, Bonan Hou, Chong Jin Ong
2025 J jnl
Consensus of heterogeneous multi-agent system in switching network using model predictive control.
Syst. Control. Lett.
Shibo Han, Chong Jin Ong
2023 — conf
Circular Formation of General Linear Agents Using Output Feedback.
CDC
Yibo Gao, Chong Jin Ong
2023 J jnl
Computation of invariant sets via immersion for discrete-time nonlinear systems.
Autom.
Zheming Wang, Raphaël M. Jungers, Chong Jin Ong
2022 J jnl
Consensus of Network of Homogeneous Agents with General Linear Dynamics.
CoRR
Chong Jin Ong, Ilayda Canyakmaz
2022 — conf
Consensus of Network of Unstable Homogeneous Linear Systems.
CDC
Chong Jin Ong, Ilayda Canyakmaz
2021 J jnl
Computation of the maximal invariant set of discrete-time linear systems subject to a class of non-convex constraints.
Autom.
Zheming Wang, Raphaël M. Jungers, Chong Jin Ong
2020 J jnl
A governor approach for consensus of heterogeneous systems with constraints under a switching network.
Autom.
Chong Jin Ong, Djati Wibowo Djamari, Bonan Hou
2020 J jnl
Consensus of Multi-agent System via Constrained Invariant Set of a class of Unstable System.
CoRR
Chong Jin Ong, Bonan Hou
2019 — conf
Consensus of Heterogeneous Systems with constraints in a Switching Network - A Governor Approach.
CDC
Chong Jin Ong, Djati Wibowo Djamari
2018 J jnl
Speeding up finite-time consensus via minimal polynomial of a weighted graph - A numerical approach.
Autom.
Zheming Wang, Chong Jin Ong
2017 — conf
A fast dual gradient algorithm for distributed model predictive control with coupled constraints.
CDC
Zheming Wang, Chong Jin Ong
2017 J jnl
Distributed Model Predictive Control of linear discrete-time systems with local and global constraints.
Autom.
Zheming Wang, Chong Jin Ong
2017 J jnl
Speeding up finite-time consensus via minimal polynomial of a weighted graph - a numerical approach.
CoRR
Zheming Wang, Chong Jin Ong
2016 J jnl
Adaptive neural network control of uncertain MIMO nonlinear systems with input saturation.
Neural Comput. Appl.
Shengfeng Zhou, Mou Chen, Chong Jin Ong, Peter C. Y. Chen
2016 J jnl
Distributed MPC of constrained linear systems with time-varying terminal sets.
Syst. Control. Lett.
Zheming Wang, Chong Jin Ong
2016 — conf
Distributed Model Predictive Control of linear discrete-time systems with coupled constraints.
CDC
Zheming Wang, Chong Jin Ong, Geok-Soon Hong
2016 A* conf
Fast Rate Analysis of Some Stochastic Optimization Algorithms.
ICML
Chao Qu, Huan Xu, Chong Jin Ong
2016 J jnl
Model Predictive Control for Switching Systems With Dwell-Time Restriction.
IEEE Trans. Autom. Control.
Chong Jin Ong, Zheming Wang, Masood Dehghan
2015 — conf
Characterization of switching sequences on system with dwell-time restriction for Model Predictive Control.
CDC
Chong Jin Ong, Zheming Wang, Masood Dehghan
2015 C conf
Distributed MPC of constrained linear systems with online decoupling of the terminal constraint.
ACC
Zheming Wang, Chong Jin Ong
2014 J jnl
Reducing variables in Model Predictive Control of linear system with disturbances using singular value decomposition.
Syst. Control. Lett.
Chong Jin Ong, Zheming Wang
2013 J jnl
Computations of mode-dependent dwell times for discrete-time switching system.
Autom.
Masood Dehghan, Chong Jin Ong
2013 — conf
Consensus control of multi-agent system with constraint - the scalar case.
CDC
Chang Sun, Chong Jin Ong, Jacob K. White
2013 J jnl
Corrections to: "Estimator Design for Discrete-Time Switched Neural Networks With Asynchronous Switching and Time-Varying Delay".
IEEE Trans. Neural Networks Learn. Syst.
Dan Zhang, Li Yu, Qing-Guo Wang, Chong Jin Ong
2012 J jnl
An Effective Feature Selection Method via Mutual Information Estimation.
IEEE Trans. Syst. Man Cybern. Part B
Jian-Bo Yang, Chong Jin Ong
2012 J jnl
Characterization and computation of disturbance invariant sets for constrained switched linear systems with dwell time restriction.
Autom.
Masood Dehghan, Chong Jin Ong
2012 J jnl
Discrete-time switching linear system with constraints: Characterization and computation of invariant sets under dwell-time consideration.
Autom.
Masood Dehghan, Chong Jin Ong
2012 J jnl
Estimator Design for Discrete-Time Switched Neural Networks With Asynchronous Switching and Time-Varying Delay.
IEEE Trans. Neural Networks Learn. Syst.
Dan Zhang, Li Yu, Qing-Guo Wang, Chong Jin Ong
2012 J jnl
Exponential
J. Frankl. Inst.
Dan Zhang, Li Yu, Qing-Guo Wang, Chong Jin Ong, Zheng-Guang Wu
2012 — conf
Model Predictive Control with reduced number of variables for linear systems with bounded disturbances.
CDC
Chong Jin Ong
2011 — conf
Characterization and computation of robust invariant sets for switching systems under dwell-time consideration.
CDC/ECC
Masood Dehghan, Chong Jin Ong, Peter C. Y. Chen
2011 J jnl
Constrained linear systems with hard constraints and disturbances: An extended command governor with large domain of attraction.
Autom.
Elmer G. Gilbert, Chong Jin Ong
2011 J jnl
Determination of Global Minima of Some Common Validation Functions in Support Vector Machine.
IEEE Trans. Neural Networks
Jian-Bo Yang, Chong Jin Ong
2011 — conf
Discrete-time switched linear system with constraints: Characterization and computation of invariant sets under dwell-time consideration.
CDC/ECC
Masood Dehghan, Chong Jin Ong, Peter C. Y. Chen
2011 J jnl
Feature Selection Using Probabilistic Prediction of Support Vector Regression.
IEEE Trans. Neural Networks
Jian-Bo Yang, Chong Jin Ong
2010 J jnl
An improved algorithm for the solution of the regularization path of support vector machine.
IEEE Trans. Neural Networks
Chong Jin Ong, Shiyun Shao, Jianbo Yang
2010 J jnl
Distributed model predictive control of dynamically decoupled systems with coupled cost.
Autom.
Chen Wang, Chong Jin Ong
2010 A* conf
Feature selection for support vector regression using probabilistic prediction.
KDD
Jian-Bo Yang, Chong Jin Ong
2010 J jnl
Model Predictive Control Using Segregated Disturbance Feedback.
IEEE Trans. Autom. Control.
Chen Wang, Chong Jin Ong, Melvyn Sim
2010 C conf
Speed optimization for micropipette motion during zebrafish embryo microinjection.
ICARCV
Shengfeng Zhou, Peter C. Y. Chen, Zhe Lu, Joo Hoo Nam, Hong Luo, Ruowen Ge, Chong Jin Ong, Wei Lin
2009 J jnl
A framework for multiple robust explicit MPC controllers for linear systems.
Int. J. Control
Dan Sui, Chong Jin Ong, Le Feng
2009 — conf
An extended command governor for constrained linear systems with disturbances.
CDC
Elmer G. Gilbert, Chong Jin Ong
2009 J jnl
Automatic EEG Artifact Removal: A Weighted Support Vector Machine Approach With Error Correction.
IEEE Trans. Biomed. Eng.
Shiyun Shao, Kai Quan Shen, Chong Jin Ong, Einar P. V. Wilder-Smith, Xiaoping Li
2009 J jnl
Convergence properties of constrained linear system under MPC control law using affine disturbance feedback.
Autom.
Chen Wang, Chong Jin Ong, Melvyn Sim
2009 J jnl
Decomposition principle in model predictive control for linear systems with bounded disturbances.
Autom.
Dan Sui, Le Feng, Morten Hovd, Chong Jin Ong
2009 — conf
Distributed model predictive control of dynamically decoupled linear systems with coupled cost.
CDC
Chen Wang, Chong Jin Ong, Melvyn Sim
2009 J jnl
Feature Selection for MLP Neural Network: The Use of Random Permutation of Probabilistic Outputs.
IEEE Trans. Neural Networks
Jian-Bo Yang, Kai Quan Shen, Chong Jin Ong, Xiaoping Li
2009 — conf
Linear systems with chance constraints: Constraint-admissible set and applications in predictive control.
CDC
Chen Wang, Chong Jin Ong, Melvyn Sim
2008 B conf
Anti-windup design using auxiliary input for constrained linear systems.
SMC
Masood Dehghan, Chong Jin Ong, Peter C. Y. Chen
2008 B conf
Automatic identification and removal of artifacts in EEG using a probabilistic multi-class SVM approach with error correction.
SMC
Shiyun Shao, Kai Quan Shen, Chong Jin Ong, Xiaoping Li, Einar P. V. Wilder-Smith
2008 — conf
Constrained linear system under disturbance feedback: Convergence with probability one.
CDC
Chen Wang, Chong Jin Ong, Melvyn Sim
2008 J jnl
Constrained linear system with disturbance: Convergence under disturbance feedback.
Autom.
Chen Wang, Chong Jin Ong, Melvyn Sim
2008 B conf
Feature selection via sensitivity analysis of MLP probabilistic outputs.
SMC
Jian-Bo Yang, Kai Quan Shen, Chong Jin Ong, Xiaoping Li
2008 J jnl
Feature selection via sensitivity analysis of SVM probabilistic outputs.
Mach. Learn.
Kai Quan Shen, Chong Jin Ong, Xiaoping Li, Einar P. V. Wilder-Smith
2008 B conf
Novel multi-class feature selection methods using sensitivity analysis of posterior probabilities.
SMC
Kai Quan Shen, Chong Jin Ong, Xiaoping Li, Einar P. V. Wilder-Smith
2007 J jnl
A Feature Selection Method for Multilevel Mental Fatigue EEG Classification.
IEEE Trans. Biomed. Eng.
Kai Quan Shen, Chong Jin Ong, Xiaoping Li, Hui Zheng, Einar P. V. Wilder-Smith
2007 C conf
Computation of Polytopal Invariant Sets of PWL Systems with Bounded Disturbances.
ACC
Dan Sui, Chong Jin Ong
2007 C conf
Interpolated Model Predictive Controller for Linear Systems with Bounded Disturbances.
ACC
Dan Sui, Chong Jin Ong
2007 — conf
Model predictive control using affine disturbance feedback for constrained linear system.
CDC
Chen Wang, Chong Jin Ong, Melvyn Sim
2006 — ch.
Bayesian Support Vector Machines for Feature Ranking and Selection.
Feature Extraction
Wei Chu, S. Sathiya Keerthi, Chong Jin Ong, Zoubin Ghahramani
2006 J jnl
Developing parallel sequential minimal optimization for fast training support vector machine.
Neurocomputing
Lijuan Cao, S. Sathiya Keerthi, Chong Jin Ong, P. Uvaraj, Xiuju Fu, H. P. Lee
2006 J jnl
Enlarging the terminal region of nonlinear model predictive control using the support vector machine method.
Autom.
Chong Jin Ong, Dan Sui, Elmer G. Gilbert
2006 — conf
Feature Selection Using SVM Probabilistic Outputs.
ICONIP (1)
Kai Quan Shen, Chong Jin Ong, Xiaoping Li, Hui Zheng, Einar P. V. Wilder-Smith
2006 C conf
Integrative Modeling of Liver Organ for Simulation of Flexible Needle Insertion.
ICARCV
Chee-Kong Chui, Swee-Hin Teoh, Chong Jin Ong, James H. Anderson, Ichiro Sakuma
2006 C conf
Multi-mode model predictive controller for constrained linear systems with bounded disturbances.
ACC
Dan Sui, Chong Jin Ong
2006 C conf
Outer Approximation of the Minimal Disturbance Invariant Set of PWL Systems with Bounded Disturbances.
ICARCV
Dan Sui, Chong Jin Ong
2006 J jnl
Parallel sequential minimal optimization for the training of support vector machines.
IEEE Trans. Neural Networks
Lijuan Cao, S. Sathiya Keerthi, Chong Jin Ong, J. Q. Zhang, U. Periyathamby, Xiuju Fu, H. P. Lee
2006 J jnl
The minimal disturbance invariant set: Outer approximations via its partial sums.
Autom.
Chong Jin Ong, Elmer G. Gilbert
2005 J jnl
An improved conjugate gradient scheme to the solution of least squares SVM.
IEEE Trans. Neural Networks
Wei Chu, Chong Jin Ong, S. Sathiya Keerthi
2005 — conf
Outer Approximations of The Minimal Disturbance Invariant Set.
CDC/ECC
Chong Jin Ong, Elmer G. Gilbert
2004 J jnl
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels.
IEEE Trans. Neural Networks
Martin M. S. Lee, S. Sathiya Keerthi, Chong Jin Ong, Dennis DeCoste
2004 J jnl
Bayesian support vector regression using a unified loss function.
IEEE Trans. Neural Networks
Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
2004 B conf
Extracting the knowledge embedded in support vector machines.
IJCNN
Xiuju Fu, Chong Jin Ong, Sathiya Keerthi, Gih Guang Hung, Li Ping Goh
2004 J jnl
Stability regions for constrained nonlinear systems and their functional characterization via support-vector-machine learning.
Autom.
Chong Jin Ong, S. Sathiya Keerthi, Elmer G. Gilbert, Z. H. Zhang
2003 A conf
A Machine Learning Approach for the Curation of Biomedical Literature.
ECIR
Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh, S. Sathiya Keerthi, Chong Jin Ong
2003 J jnl
Bayesian Trigonometric Support Vector Classifier.
Neural Comput.
Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
2002 J jnl
A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1).
SIGKDD Explor.
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
2001 A* conf
A Unified Loss Function in Bayesian Framework for Support Vector Regression.
ICML
Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
2001 J jnl
Fast versions of the Gilbert-Johnson-Keerthi distance algorithm: additional results and comparisons.
IEEE Trans. Robotics Autom.
Chong Jin Ong, Elmer G. Gilbert
2000 J jnl
A fast growth distance algorithm for incremental motions.
IEEE Trans. Robotics Autom.
Chong Jin Ong, Eugene Huang, Sun-Mog Hong
1999 A* conf
EquiDistance Diagram: A New Roadmap Method for Path Planning.
ICRA
S. Sathiya Keerthi, Chong Jin Ong, Eugene Huang, Elmer G. Gilbert
1998 A* conf
An Incremental Version of Growth Distance.
ICRA
Chong Jin Ong, Eugene Huang
1998 J jnl
Robot path planning with penetration growth distance.
J. Field Robotics
Chong Jin Ong, Elmer G. Gilbert
1997 J jnl
On the Quantification of Penetration between General Objects.
Int. J. Robotics Res.
Chong Jin Ong
1997 A* conf
The Gilbert-Johnson-Keerthi distance algorithm: a fast version for incremental motions.
ICRA
Chong Jin Ong, Elmer G. Gilbert
1996 J jnl
Computation of penetration between smooth convex objects in three-dimensional space.
J. Field Robotics
Chong Jin Ong
1996 A* conf
Distance computation between smooth convex objects.
ICRA
Chong Jin Ong
1996 J jnl
Growth distances: new measures for object separation and penetration.
IEEE Trans. Robotics Autom.
Chong Jin Ong, Elmer G. Gilbert
1994 A* conf
New Distances for the Separation and Penetration of Objects.
ICRA
Elmer G. Gilbert, Chong Jin Ong
1994 A* conf
Robot Path Planning with Penetration Growth Distance.
ICRA
Chong Jin Ong, Elmer G. Gilbert