Pak-Kin Wong
Orcid: 0000-0002-7623-6904Affiliations:
- University of Macau, Department of Electromechanical Engineering, China
According to our database1,
Pak-Kin Wong
authored at least 99 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Efficient Incremental Offline Reinforcement Learning With Sparse Broad Critic Approximation.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
A Novel Event-Triggered Torque Vectoring Control for Improving Lateral Stability and Communication Resource Consumption of Electric Vehicles.
IEEE Trans. Intell. Veh., January, 2024
Robust Switched H$\infty$ Control of T-S Fuzzy-Based MRF Suspension Systems Subject to Input Saturation and Time-Varying Delay.
IEEE Trans. Ind. Electron., 2024
A Decision-Making Algorithm for Robotic Breast Ultrasound High-Quality Imaging via Broad Reinforcement Learning From Demonstration.
IEEE Robotics Autom. Lett., 2024
2023
Fixed-Time Prescribed Performance Path-Following Control for Autonomous Vehicle With Complete Unknown Parameters.
IEEE Trans. Ind. Electron., August, 2023
Robust H-infinity Fuzzy Output Feedback Control for Path Following of FWID-EVs with Actuator Saturation.
Int. J. Fuzzy Syst., June, 2023
Fixed-Time and Fault-Tolerant Path-Following Control for Autonomous Vehicles With Unknown Parameters Subject to Prescribed Performance.
IEEE Trans. Syst. Man Cybern. Syst., April, 2023
Pattern Recognit. Lett., March, 2023
Multi-objective <i>H</i><sub>2</sub>/<i>H<sub>∞</sub></i> control of uncertain active suspension systems with interval time-varying delay.
J. Syst. Control. Eng., February, 2023
Generalized Fuzzy Subset Method for Time-Varying Multi-State Reliability of Perturbation Failure Coupling Measurement System With Limited Expert Knowledge.
IEEE Trans. Fuzzy Syst., 2023
Observer-Based Discrete-Time Cascaded Control for Lateral Stabilization of Steer-by-Wire Vehicles With Uncertainties and Disturbances.
IEEE Trans. Circuits Syst. I Regul. Pap., 2023
Multi-Class Gastroesophageal Reflux Disease Classification System Using Deep Learning Techniques.
Proceedings of the 10th International Conference on Biomedical and Bioinformatics Engineering, 2023
2022
Robust Gain-Scheduling Path Following Control of Autonomous Vehicles Considering Stochastic Network-Induced Delay.
IEEE Trans. Intell. Transp. Syst., 2022
Design of an Acceleration Redistribution Cooperative Strategy for Collision Avoidance System Based on Dynamic Weighted Multi-Objective Model Predictive Controller.
IEEE Trans. Intell. Transp. Syst., 2022
Distributed Adaptive Consensus Protocol for Connected Vehicle Platoon With Heterogeneous Time-Varying Delays and Switching Topologies.
IEEE Trans. Intell. Transp. Syst., 2022
Human-Machine Shared Steering Control for Vehicle Lane Keeping Systems via a Fuzzy Observer-Based Event-Triggered Method.
IEEE Trans. Intell. Transp. Syst., 2022
Event-Triggered Asynchronous Fuzzy Filtering for Vehicle Sideslip Angle Estimation With Data Quantization and Dropouts.
IEEE Trans. Fuzzy Syst., 2022
Fast Training of Adversarial Deep Fuzzy Classifier by Downsizing Fuzzy Rules With Gradient Guided Learning.
IEEE Trans. Fuzzy Syst., 2022
Improved AET Robust Control for Networked T-S Fuzzy Systems With Asynchronous Constraints.
IEEE Trans. Cybern., 2022
Multi-scale Multi-instance Multi-feature Joint Learning Broad Network (M<sup>3</sup>JLBN) for gastric intestinal metaplasia subtype classification.
Knowl. Based Syst., 2022
Interval fuzzy robust non-fragile finite frequency control for active suspension of in-wheel motor driven electric vehicles with time delay.
J. Frankl. Inst., 2022
Dynamic-output-feedback based interval type-2 fuzzy control for nonlinear active suspension systems with actuator saturation and delay.
Inf. Sci., 2022
A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine.
Cogn. Comput., 2022
Corrigendum to "Broad learning system stacking with multi-scale attention for the diagnosis of gastric intestinal metaplasia" [Biomed. Signal Process. Control 73 (2022) 103476].
Biomed. Signal Process. Control., 2022
Broad learning system stacking with multi-scale attention for the diagnosis of gastric intestinal metaplasia.
Biomed. Signal Process. Control., 2022
Automatic detection of multiple types of pneumonia: Open dataset and a multi-scale attention network.
Biomed. Signal Process. Control., 2022
Robust Adaptive Control of an Automotive Active Air Suspension System with Input Delay.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022
2021
Online Equivalent Degradation Indicator Calculation for Remaining Charging-Discharging Cycle Determination of Lithium-Ion Batteries.
IEEE Trans. Veh. Technol., 2021
IEEE Trans. Ind. Electron., 2021
Adaptive-Event-Trigger-Based Fuzzy Nonlinear Lateral Dynamic Control for Autonomous Electric Vehicles Under Insecure Communication Networks.
IEEE Trans. Ind. Electron., 2021
Nonlinear Ride Height Control of Active Air Suspension System with Output Constraints and Time-Varying Disturbances.
Sensors, 2021
Robust non-fragile finite frequency H∞ control for uncertain active suspension systems with time-delay using T-S fuzzy approach.
J. Frankl. Inst., 2021
Neurocomputing, 2021
Static-Output-Feedback Based Robust Fuzzy Wheelbase Preview Control for Uncertain Active Suspensions With Time Delay and Finite Frequency Constraint.
IEEE CAA J. Autom. Sinica, 2021
Sampled-Data Asynchronous Fuzzy Output Feedback Control for Active Suspension Systems in Restricted Frequency Domain.
IEEE CAA J. Autom. Sinica, 2021
A multi-feature fusion method for image recognition of gastrointestinal metaplasia (GIM).
Biomed. Signal Process. Control., 2021
Robust Backstepping Super-Twisting Sliding Mode Control for Autonomous Vehicle Path Following.
IEEE Access, 2021
2020
IEEE Trans. Ind. Informatics, 2020
Robust and Noise-Insensitive Recursive Maximum Correntropy-Based Evolving Fuzzy System.
IEEE Trans. Fuzzy Syst., 2020
Adaptive neural tracking control for automotive engine idle speed regulation using extreme learning machine.
Neural Comput. Appl., 2020
Approximate empirical kernel map-based iterative extreme learning machine for clustering.
Neural Comput. Appl., 2020
Intelligent diagnosis of gastric intestinal metaplasia based on convolutional neural network and limited number of endoscopic images.
Comput. Biol. Medicine, 2020
2019
Initial-training-free online sequential extreme learning machine based adaptive engine air-fuel ratio control.
Int. J. Mach. Learn. Cybern., 2019
Novel paralleled extreme learning machine networks for fault diagnosis of wind turbine drivetrain.
Memetic Comput., 2019
Robust Ride Height Control for Active Air Suspension Systems With Multiple Unmodeled Dynamics and Parametric Uncertainties.
IEEE Access, 2019
A Fault Diagnostic Method for Induction Motors Based on Feature Incremental Broad Learning and Singular Value Decomposition.
IEEE Access, 2019
An Efficient Fault Diagnostic Method for Three-Phase Induction Motors Based on Incremental Broad Learning and Non-Negative Matrix Factorization.
IEEE Access, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Single and Simultaneous Fault Diagnosis With Application to a Multistage Gearbox: A Versatile Dual-ELM Network Approach.
IEEE Trans. Ind. Informatics, 2018
Soft Comput., 2018
Design and analysis of an integrated sliding mode control-two-point wheelbase preview strategy for a semi-active air suspension with stepper motor-driven gas-filled adjustable shock absorber.
J. Syst. Control. Eng., 2018
Efficient point-by-point engine calibration using machine learning and sequential design of experiment strategies.
J. Frankl. Inst., 2018
Online extreme learning machine based modeling and optimization for point-by-point engine calibration.
Neurocomputing, 2018
Empirical kernel map-based multilayer extreme learning machines for representation learning.
Neurocomputing, 2018
Cogn. Comput., 2018
Design and Testing of a Nonlinear Model Predictive Controller for Ride Height Control of Automotive Semi-Active Air Suspension Systems.
IEEE Access, 2018
2017
Multi-Objective Sliding Mode Control on Vehicle Cornering Stability with Variable Gear Ratio Actuator-Based Active Front Steering Systems.
Sensors, 2017
Neural Networks, 2017
Multidimens. Syst. Signal Process., 2017
Cuckoo search-based intelligent control of a novel variable rotary valve system for engines using PID controller.
J. Intell. Fuzzy Syst., 2017
A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems.
Neurocomputing, 2017
Extreme Learning Machine for Huge Hypotheses Re-ranking in Statistical Machine Translation.
Cogn. Comput., 2017
2016
Sensors, 2016
Model predictive engine air-ratio control using online sequential extreme learning machine.
Neural Comput. Appl., 2016
Neural Comput. Appl., 2016
Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis.
Neurocomputing, 2016
Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine.
Neurocomputing, 2016
An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias.
Cogn. Comput., 2016
2015
Neural Comput. Appl., 2015
Sparse Bayesian extreme learning machine and its application to biofuel engine performance prediction.
Neurocomputing, 2015
Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine.
Cogn. Comput., 2015
Integrated variable speed-fuzzy PWM control for ride height adjustment of active air suspension systems.
Proceedings of the American Control Conference, 2015
2014
IEEE Trans. Neural Networks Learn. Syst., 2014
Real-time fault diagnosis for gas turbine generator systems using extreme learning machine.
Neurocomputing, 2014
Predicting minority class for suspended particulate matters level by extreme learning machine.
Neurocomputing, 2014
Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis.
Appl. Soft Comput., 2014
Application of RFID technology and the maximum spanning tree algorithm for solving vehicle emissions in cities on Internet of Things.
Proceedings of the IEEE World Forum on Internet of Things, 2014
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
2013
Research commentary: Intelligent systems and technology for integrative and predictive medicine: An ACP approach.
ACM Trans. Intell. Syst. Technol., 2013
A New Framework of Simultaneous-Fault Diagnosis Using Pairwise Probabilistic Multi-Label Classification for Time-Dependent Patterns.
IEEE Trans. Ind. Electron., 2013
Modelling of diesel engine performance using advanced machine learning methods under scarce and exponential data set.
Appl. Soft Comput., 2013
Inspection and control of vehicle emissions through Internet of Things and traffic lights.
Proceedings of the International Conference on Connected Vehicles and Expo, 2013
2012
Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine.
IEEE Trans. Ind. Electron., 2012
Modelling and prediction of automotive engine airratio using relevance vector machine.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012
2011
Engine ignition signal diagnosis with Wavelet Packet Transform and Multi-class Least Squares Support Vector Machines.
Expert Syst. Appl., 2011
Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis.
Eng. Appl. Artif. Intell., 2011
Rate-Dependent Hysteresis Modeling and Compensation Using Least Squares Support Vector Machines.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
2010
Expert Syst. Appl., 2010
Predictive Air-Ratio Controller for Automotive Engines Based on Online Neural Network: Design and Experimental Evaluation.
Proceedings of the 9th IEEE/ACIS International Conference on Computer and Information Science, 2010
Case-Based Classification System with Clustering for Automotive Engine Spark Ignition Diagnosis.
Proceedings of the 9th IEEE/ACIS International Conference on Computer and Information Science, 2010
Proceedings of the 9th IEEE/ACIS International Conference on Computer and Information Science, 2010
2008
Automotive engine idle speed control optimization using least squares support vector machine and genetic algorithm.
Int. J. Intell. Comput. Cybern., 2008
2006
Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference.
Eng. Appl. Artif. Intell., 2006
2005
Modelling and Prediction of Electronically Controlled Automotive Engine Power and Torque Using Support Vector Machines.
Proceedings of the Advances in Logic Based Intelligent Systems, 2005
Proceedings of the Advances in Logic Based Intelligent Systems, 2005
2003
Knowledge Acquisition Through Case-Based Adaptation for Hydraulic Power Machine Design.
Proceedings of the ICEIS 2003, 2003