Chong Jin Ong

Orcid: 0000-0003-0493-4575

Affiliations:
  • National University of Singapore / Singapore-MIT Alliance, Department of Mechanical Engineering, Singapore
  • University of Michigan, Ann Arbor, MI, UDA (PhD 1993)


According to our database1, Chong Jin Ong authored at least 94 papers between 1994 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Computation of invariant sets via immersion for discrete-time nonlinear systems.
Autom., 2023

Circular Formation of General Linear Agents Using Output Feedback.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Output consensusability of network with two-dimensional heterogeneous linear agents via static diffusive output feedback.
Syst. Control. Lett., 2022

Consensus of Network of Homogeneous Agents with General Linear Dynamics.
CoRR, 2022

Consensus of Network of Unstable Homogeneous Linear Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Computation of the maximal invariant set of discrete-time linear systems subject to a class of non-convex constraints.
Autom., 2021

Consensus of heterogeneous multi-agent system with input constraints.
Autom., 2021

2020
Consensus of Multi-agent System via Constrained Invariant Set of a class of Unstable System.
CoRR, 2020

A governor approach for consensus of heterogeneous systems with constraints under a switching network.
Autom., 2020

Achieving output consensus of heterogeneous network of two dimensional agents via static diffusive controller.
Proceedings of the 2020 American Control Conference, 2020

2019
Computation of the maximal invariant set of discrete-time systems subject to quasi-smooth non-convex constraints.
CoRR, 2019

Computation of the maximal invariant set of linear systems with quasi-smooth nonlinear constraints.
Proceedings of the 17th European Control Conference, 2019

Consensus of Heterogeneous Systems with constraints in a Switching Network - A Governor Approach.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Accelerated Distributed MPC of Linear Discrete-Time Systems With Coupled Constraints.
IEEE Trans. Autom. Control., 2018

Speeding up finite-time consensus via minimal polynomial of a weighted graph - A numerical approach.
Autom., 2018

2017
Distributed Model Predictive Control of linear discrete-time systems with local and global constraints.
Autom., 2017

A fast dual gradient algorithm for distributed model predictive control with coupled constraints.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Model Predictive Control for Switching Systems With Dwell-Time Restriction.
IEEE Trans. Autom. Control., 2016

Distributed MPC of constrained linear systems with time-varying terminal sets.
Syst. Control. Lett., 2016

Adaptive neural network control of uncertain MIMO nonlinear systems with input saturation.
Neural Comput. Appl., 2016

Fast Rate Analysis of Some Stochastic Optimization Algorithms.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Distributed Model Predictive Control of linear discrete-time systems with coupled constraints.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Characterization of switching sequences on system with dwell-time restriction for Model Predictive Control.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Distributed MPC of constrained linear systems with online decoupling of the terminal constraint.
Proceedings of the American Control Conference, 2015

2014
Reducing variables in Model Predictive Control of linear system with disturbances using singular value decomposition.
Syst. Control. Lett., 2014

2013
Corrections to: "Estimator Design for Discrete-Time Switched Neural Networks With Asynchronous Switching and Time-Varying Delay".
IEEE Trans. Neural Networks Learn. Syst., 2013

Computations of mode-dependent dwell times for discrete-time switching system.
Autom., 2013

Consensus control of multi-agent system with constraint - the scalar case.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
An Effective Feature Selection Method via Mutual Information Estimation.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Estimator Design for Discrete-Time Switched Neural Networks With Asynchronous Switching and Time-Varying Delay.
IEEE Trans. Neural Networks Learn. Syst., 2012

Exponential <i>H</i><sub>∞</sub> filtering for discrete-time switched singular systems with time-varying delays.
J. Frankl. Inst., 2012

Characterization and computation of disturbance invariant sets for constrained switched linear systems with dwell time restriction.
Autom., 2012

Discrete-time switching linear system with constraints: Characterization and computation of invariant sets under dwell-time consideration.
Autom., 2012

Model Predictive Control with reduced number of variables for linear systems with bounded disturbances.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Feature Selection Using Probabilistic Prediction of Support Vector Regression.
IEEE Trans. Neural Networks, 2011

Determination of Global Minima of Some Common Validation Functions in Support Vector Machine.
IEEE Trans. Neural Networks, 2011

Constrained linear systems with hard constraints and disturbances: An extended command governor with large domain of attraction.
Autom., 2011

Discrete-time switched linear system with constraints: Characterization and computation of invariant sets under dwell-time consideration.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Characterization and computation of robust invariant sets for switching systems under dwell-time consideration.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Enlarging domain of attraction of switched linear systems in the presence of saturation nonlinearity.
Proceedings of the American Control Conference, 2011

2010
An improved algorithm for the solution of the regularization path of support vector machine.
IEEE Trans. Neural Networks, 2010

Model Predictive Control Using Segregated Disturbance Feedback.
IEEE Trans. Autom. Control., 2010

Distributed model predictive control of dynamically decoupled systems with coupled cost.
Autom., 2010

Feature selection for support vector regression using probabilistic prediction.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Speed optimization for micropipette motion during zebrafish embryo microinjection.
Proceedings of the 11th International Conference on Control, 2010

2009
Feature Selection for MLP Neural Network: The Use of Random Permutation of Probabilistic Outputs.
IEEE Trans. Neural Networks, 2009

Automatic EEG Artifact Removal: A Weighted Support Vector Machine Approach With Error Correction.
IEEE Trans. Biomed. Eng., 2009

A framework for multiple robust explicit MPC controllers for linear systems.
Int. J. Control, 2009

Convergence properties of constrained linear system under MPC control law using affine disturbance feedback.
Autom., 2009

Decomposition principle in model predictive control for linear systems with bounded disturbances.
Autom., 2009

Distributed model predictive control of dynamically decoupled linear systems with coupled cost.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Linear systems with chance constraints: Constraint-admissible set and applications in predictive control.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

An extended command governor for constrained linear systems with disturbances.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Feature selection via sensitivity analysis of SVM probabilistic outputs.
Mach. Learn., 2008

Constrained linear system with disturbance: Convergence under disturbance feedback.
Autom., 2008

Feature selection via sensitivity analysis of MLP probabilistic outputs.
Proceedings of the IEEE International Conference on Systems, 2008

Novel multi-class feature selection methods using sensitivity analysis of posterior probabilities.
Proceedings of the IEEE International Conference on Systems, 2008

Automatic identification and removal of artifacts in EEG using a probabilistic multi-class SVM approach with error correction.
Proceedings of the IEEE International Conference on Systems, 2008

Anti-windup design using auxiliary input for constrained linear systems.
Proceedings of the IEEE International Conference on Systems, 2008

Constrained linear system under disturbance feedback: Convergence with probability one.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
A Feature Selection Method for Multilevel Mental Fatigue EEG Classification.
IEEE Trans. Biomed. Eng., 2007

Model predictive control using affine disturbance feedback for constrained linear system.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Computation of Polytopal Invariant Sets of PWL Systems with Bounded Disturbances.
Proceedings of the American Control Conference, 2007

Interpolated Model Predictive Controller for Linear Systems with Bounded Disturbances.
Proceedings of the American Control Conference, 2007

2006
Parallel sequential minimal optimization for the training of support vector machines.
IEEE Trans. Neural Networks, 2006

Developing parallel sequential minimal optimization for fast training support vector machine.
Neurocomputing, 2006

Enlarging the terminal region of nonlinear model predictive control using the support vector machine method.
Autom., 2006

The minimal disturbance invariant set: Outer approximations via its partial sums.
Autom., 2006

Feature Selection Using SVM Probabilistic Outputs.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Outer Approximation of the Minimal Disturbance Invariant Set of PWL Systems with Bounded Disturbances.
Proceedings of the Ninth International Conference on Control, 2006

Integrative Modeling of Liver Organ for Simulation of Flexible Needle Insertion.
Proceedings of the Ninth International Conference on Control, 2006

Multi-mode model predictive controller for constrained linear systems with bounded disturbances.
Proceedings of the American Control Conference, 2006

Constrained linear systems with disturbances: enlargement of their maximal invariant sets by nonlinear feedback.
Proceedings of the American Control Conference, 2006

Bayesian Support Vector Machines for Feature Ranking and Selection.
Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005
An improved conjugate gradient scheme to the solution of least squares SVM.
IEEE Trans. Neural Networks, 2005

Outer Approximations of The Minimal Disturbance Invariant Set.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels.
IEEE Trans. Neural Networks, 2004

Bayesian support vector regression using a unified loss function.
IEEE Trans. Neural Networks, 2004

Stability regions for constrained nonlinear systems and their functional characterization via support-vector-machine learning.
Autom., 2004

2003
Bayesian Trigonometric Support Vector Classifier.
Neural Comput., 2003

A Machine Learning Approach for the Curation of Biomedical Literature.
Proceedings of the Advances in Information Retrieval, 2003

2002
A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1).
SIGKDD Explor., 2002

2001
Fast versions of the Gilbert-Johnson-Keerthi distance algorithm: additional results and comparisons.
IEEE Trans. Robotics Autom., 2001

A Unified Loss Function in Bayesian Framework for Support Vector Regression.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000
A fast growth distance algorithm for incremental motions.
IEEE Trans. Robotics Autom., 2000

1999
EquiDistance Diagram: A New Roadmap Method for Path Planning.
Proceedings of the 1999 IEEE International Conference on Robotics and Automation, 1999

1998
Robot path planning with penetration growth distance.
J. Field Robotics, 1998

An Incremental Version of Growth Distance.
Proceedings of the IEEE International Conference on Robotics and Automation, 1998

1997
On the Quantification of Penetration between General Objects.
Int. J. Robotics Res., 1997

The Gilbert-Johnson-Keerthi distance algorithm: a fast version for incremental motions.
Proceedings of the 1997 IEEE International Conference on Robotics and Automation, 1997

1996
Growth distances: new measures for object separation and penetration.
IEEE Trans. Robotics Autom., 1996

Computation of penetration between smooth convex objects in three-dimensional space.
J. Field Robotics, 1996

Distance computation between smooth convex objects.
Proceedings of the 1996 IEEE International Conference on Robotics and Automation, 1996

1994
New Distances for the Separation and Penetration of Objects.
Proceedings of the 1994 International Conference on Robotics and Automation, 1994


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