Kang Li

Orcid: 0000-0001-6657-0522

Affiliations:
  • University of Leeds, School of Electronic and Electrical Engineering, UK
  • Queen's University Belfast, School of Electronics, Electrical Engineering and Computer Science, UK (2002 - 2018)


According to our database1, Kang Li authored at least 163 papers between 1996 and 2024.

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

Timeline

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Bibliography

2024
Scalable Fuzzy Control for Nonlinear DC Microgrids Under Plug-and-Play Operations.
IEEE Trans. Fuzzy Syst., August, 2024

SFR Modeling for Hybrid Power Systems Based on Deep Transfer Learning.
IEEE Trans. Ind. Informatics, January, 2024

Distributed LSTM-GCN-Based Spatial-Temporal Indoor Temperature Prediction in Multizone Buildings.
IEEE Trans. Ind. Informatics, January, 2024

Plug-and-Play of Grid-Forming Units in DC Microgrids Assisted With Power Buffers.
IEEE Trans. Smart Grid, 2024

Fast Linear State Estimation for Unbalanced Distribution Systems Using Hybrid Measurements.
IEEE Trans. Instrum. Meas., 2024

Mitigating the Inrush Current of V/V Transformers Using Railway Conditioners.
IEEE Access, 2024

Deep Learning-based EMI and IEMI Classification in 5G- R High-Speed Rail Wireless Communications.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

2023
Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression.
IEEE Trans. Cybern., December, 2023

A Mutually Beneficial Operation Framework for Virtual Power Plants and Electric Vehicle Charging Stations.
IEEE Trans. Smart Grid, November, 2023

EMI and IEMI Impacts on the Radio Communication Network of Electrified Railway Systems: A Critical Review.
IEEE Trans. Veh. Technol., August, 2023

A multi-view CNN encoding for motor imagery EEG signals.
Biomed. Signal Process. Control., August, 2023

A Multi-Objective and Multi-Constraint Optimization Model for Cyber-Physical Power Systems Considering Renewable Energy and Electric Vehicles.
IEEE CAA J. Autom. Sinica, June, 2023

Thermal monitoring of lithium-ion batteries based on machine learning and fibre Bragg grating sensors.
Trans. Inst. Meas. Control, May, 2023

A regularised fast recursive algorithm for fraction model identification of nonlinear dynamic systems.
Int. J. Syst. Sci., May, 2023

Resilient Optimal Defensive Strategy of TSK Fuzzy-Model-Based Microgrids' System via a Novel Reinforcement Learning Approach.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

A Hybrid Incentive Program for Managing Electric Vehicle Charging Flexibility.
IEEE Trans. Smart Grid, 2023

FRA-Based Parameter Estimation for Fault Diagnosis of Three-Phase Voltage-Source Inverters.
IEEE Access, 2023

Linear Distribution System State Estimation by Hybrid Synchronized/Unsynchronized Measurements.
Proceedings of the 13th IEEE International Workshop on Applied Measurements for Power Systems, 2023

2022
Optimal Virtual Power Plant Operational Regime Under Reserve Uncertainty.
IEEE Trans. Smart Grid, 2022

Two-Step Wind Power Prediction Approach With Improved Complementary Ensemble Empirical Mode Decomposition and Reinforcement Learning.
IEEE Syst. J., 2022

A comprehensive review on deep learning approaches in wind forecasting applications.
CAAI Trans. Intell. Technol., 2022

A Pruned Deep Learning Approach for Classification of Motor Imagery Electroencephalography Signals.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
MOEA/D-Based Probabilistic PBI Approach for Risk-Based Optimal Operation of Hybrid Energy System With Intermittent Power Uncertainty.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Event-Triggered Multiagent Optimization for Two-Layered Model of Hybrid Energy System With Price Bidding-Based Demand Response.
IEEE Trans. Cybern., 2021

Recovering large-scale battery aging dataset with machine learning.
Patterns, 2021

Keynote Talk: Intelligent Monitoring, State Estimation and Charging Control of Li-ion Batteries.
Proceedings of the SIET '21: 6th International Conference on Sustainable Information Engineering and Technology 2021, Malang, Indonesia, September 13, 2021

Three-State Markov Chain Based Reliability Analysis of Complex Traction Power Supply Systems.
Proceedings of the 5th International Conference on System Reliability and Safety, 2021

2020
Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model.
IEEE Trans. Smart Grid, 2020

Joint SoC and SoH Estimation for Zinc-Nickel Single-Flow Batteries.
IEEE Trans. Ind. Electron., 2020

Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem.
Knowl. Based Syst., 2020

State-of-Charge Estimation of Lithium-Ion Battery Pack Based on Improved RBF Neural Networks.
Complex., 2020

A Sparse Learning Machine for Real-Time SOC Estimation of Li-ion Batteries.
IEEE Access, 2020

Functional Qos Metric For Lorawan Applications In Challenging Industrial Environment.
Proceedings of the 16th IEEE International Conference on Factory Communication Systems, 2020

2019
Fault Diagnosis for Energy Internet Using Correlation Processing-Based Convolutional Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2019

2018
Data-Driven Dynamic Modeling of Coupled Thermal and Electric Outputs of Microturbines.
IEEE Trans. Smart Grid, 2018

Trajectory Length Prediction for Intelligent Traffic Signaling: A Data-Driven Approach.
IEEE Trans. Intell. Transp. Syst., 2018

Event-triggered H∞ position control of receiver coil for effective mobile wireless charging of electric vehicles.
Trans. Inst. Meas. Control, 2018

Charging Pattern Optimization for Lithium-Ion Batteries With an Electrothermal-Aging Model.
IEEE Trans. Ind. Informatics, 2018

Local variable selection of nonlinear nonparametric systems by first order expansion.
Syst. Control. Lett., 2018

Compact real-valued teaching-learning based optimization with the applications to neural network training.
Knowl. Based Syst., 2018

Enhanced receding horizon optimal performance for online tuning of PID controller parameters.
Int. J. Model. Identif. Control., 2018

Data-Driven Hybrid Internal Temperature Estimation Approach for Battery Thermal Management.
Complex., 2018

Compact Neural Modeling of Single Flow Zinc-Nickel Batteries Based on Jaya Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
A Novel Networked Online Recursive Identification Method for Multivariable Systems With Incomplete Measurement Information.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Long-Term Ship Speed Prediction for Intelligent Traffic Signaling.
IEEE Trans. Intell. Transp. Syst., 2017

Improved Realtime State-of-Charge Estimation of LiFePO 4 Battery Based on a Novel Thermoelectric Model.
IEEE Trans. Ind. Electron., 2017

A novel parallel-series hybrid meta-heuristic method for solving a hybrid unit commitment problem.
Knowl. Based Syst., 2017

Teaching-Learning-Feedback-Based Optimization.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

State-of-Charge Estimation of Lithium Batteries Using Compact RBF Networks and AUKF.
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017

Heuristic Based Terminal Iterative Learning Control of ISBM Reheating Processes.
Proceedings of the Intelligent Computing, Networked Control, and Their Engineering Applications, 2017

A Novel RBF Neural Model for Single Flow Zinc Nickel Batteries.
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017

Control Strategies for the Microgrid Control System with Communication Delays.
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017

2016
Quadratic separation framework for stability analysis of a class of systems with time delays.
Neurocomputing, 2016

Time series wind power forecasting based on variant Gaussian Process and TLBO.
Neurocomputing, 2016

Energy saving - Another perspective for parameter optimization of P and PI controllers.
Neurocomputing, 2016

Identification and guaranteed performance control of Hammerstein systems over wireless channels.
Int. J. Autom. Comput., 2016

Modeling of Organic Rankine Cycle for waste heat recovery using RBF neural networks.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Sensitivity study of key factors influencing emission market based on hybrid simulations.
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016

k-fold Subsampling based Sequential Backward Feature Elimination.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

A hybrid meta-heuristic method for unit commitment considering flexible charging and discharging of plug-in electric vehicles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Battery optimal charging strategy based on a coupled thermoelectric model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Strong consistency of kernel-based local variable selection for nonlinear nonparametric systems.
Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016

2015
Advanced methods for nonlinear system modelling and identification.
PhD thesis, 2015

Two-Stage Orthogonal Least Squares Methods for Neural Network Construction.
IEEE Trans. Neural Networks Learn. Syst., 2015

Material identification of loose particles in sealed electronic devices using PCA and SVM.
Neurocomputing, 2015

Intelligent Computing for Sustainable Energy and Environment (ICSEE 2012).
Neurocomputing, 2015

Kernel-based local order estimation of nonlinear nonparametric systems.
Autom., 2015

Forward and backward least angle regression for nonlinear system identification.
Autom., 2015

Unit commitment considering multiple charging and discharging scenarios of plug-in electric vehicles.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Stability Analysis and Implementation of a Decentralized Formation Control Strategy for Unmanned Vehicles.
IEEE Trans. Control. Syst. Technol., 2014

A sparse representation based fast detection method for surface defect detection of bottle caps.
Neurocomputing, 2014

A multi-output two-stage locally regularized model construction method using the extreme learning machine.
Neurocomputing, 2014

A novel forward gene selection algorithm for microarray data.
Neurocomputing, 2014

Comments on "Wirtinger-based integral inequality: Application to time-delay systems [Automatica 49 (2013) 2860-2866]".
Autom., 2014

Kernel based approaches to local nonlinear non-parametric variable selection.
Autom., 2014

Variable selection by RIVAL.
Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014

A New Compact Teaching-Learning-Based Optimization Method.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

Battery modelling methods for electric vehicles - A review.
Proceedings of the 13th European Control Conference, 2014

Non-convex dynamic economic/environmental dispatch with plug-in electric vehicle loads.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014

A new self-learning TLBO algorithm for RBF neural modelling of batteries in electric vehicles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
A New Discrete-Continuous Algorithm for Radial Basis Function Networks Construction.
IEEE Trans. Neural Networks Learn. Syst., 2013

A New Gradient Descent Approach for Local Learning of Fuzzy Neural Models.
IEEE Trans. Fuzzy Syst., 2013

A Hybrid Learning Method for Constructing Compact Rule-Based Fuzzy Models.
IEEE Trans. Cybern., 2013

A New Extension of Newton Algorithm for Nonlinear System Modelling Using RBF Neural Networks.
IEEE Trans. Autom. Control., 2013

Identification and control of Hammerstein systems via wireless networks.
Int. J. Syst. Sci., 2013

A novel automatic two-stage locally regularized classifier construction method using the extreme learning machine.
Neurocomputing, 2013

Reverse Engineering of Biochemical Reaction Networks Using Co-evolution with Eng-Genes.
Cogn. Comput., 2013

Energy Saving and System Performance - An Art of Trade-Off for Controller Design.
Proceedings of the IEEE International Conference on Systems, 2013

Human interest oriented heterogeneous multi-robot exploration under connectivity constraints.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

Time-jerk optimal trajectory planning for robotic manipulators.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

A comparative study on differential evolution with other heuristic methods for continuous optimization.
Proceedings of the 21st Mediterranean Conference on Control and Automation, 2013

Loose Particle Classification Using a New Wavelet Fisher Discriminant Method.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

On Variation of Infinite Horizon Performance of Model Predictive Control with Varying Receding Horizon.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013

A novel two stage algorithm for construction of RBF neural models based on A-optimality criterion.
Proceedings of the Ninth International Conference on Natural Computation, 2013

Semantic Mapping for Safe and Comfortable Navigation of a Brain-Controlled Wheelchair.
Proceedings of the Intelligent Robotics and Applications - 6th International Conference, 2013

Robot Surgery Simulation System for Soft Tissue Cutting.
Proceedings of the Intelligent Robotics and Applications - 6th International Conference, 2013

An Open-Source Development and Simulation Platform for Smart Wheelchairs.
Proceedings of the Intelligent Robotics and Applications - 6th International Conference, 2013

A novel LOO based two-stage method for automatic model identification of a class of nonlinear dynamic systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Local variable selection and dimension determination of nonlinear non-parametric systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Dynamic modelling of die melt temperature profile in polymer extrusion.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A local information criterion for order identification of nonlinear ARX systems.
Proceedings of the 9th Asian Control Conference, 2013

Data-driven water supply systems modelling.
Proceedings of the 9th Asian Control Conference, 2013

Data-driven based predictive controller design for vapor compression refrigeration cycle systems.
Proceedings of the 9th Asian Control Conference, 2013

Neural network based model predictive control performance monitoring-data-driven approach.
Proceedings of the 9th Asian Control Conference, 2013

2012
Improved Structure Optimization for Fuzzy-Neural Networks.
IEEE Trans. Fuzzy Syst., 2012

Application of nonlinear PCA for fault detection in polymer extrusion processes.
Neural Comput. Appl., 2012

Intelligent computing and applications (LSMS and ICSEE 2010).
Neural Comput. Appl., 2012

Locally regularised two-stage learning algorithm for RBF network centre selection.
Int. J. Syst. Sci., 2012

Bio-inspired computing and applications (LSMS-ICSEE, 2010).
Neurocomputing, 2012

Stabilisation of a class of networked control systems with stochastic properties.
Int. J. Model. Identif. Control., 2012

Direct Nyquist array design of PID controllers for boiler-turbine units based on gain and phase margins.
Int. J. Comput. Appl. Technol., 2012

Variable selection via RIVAL (removing irrelevant variables amidst Lasso iterations) and its application to nuclear material detection.
Autom., 2012

Novel decentralised formation control for unmanned vehicles.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

2011
A hierarchical multiclass support vector machine incorporated with holistic triple learning units.
Soft Comput., 2011

Automated nonlinear system modelling with multiple neural networks.
Int. J. Syst. Sci., 2011

Fast automatic two-stage nonlinear model identification based on the extreme learning machine.
Neurocomputing, 2011

A particle swarm optimization solution for economic dispatch.
Proceedings of the 2nd IEEE PES International Conference and Exhibition on "Innovative Smart Grid Technologies", 2011

A Hybrid Approach to Locally Optimized Interpretable Partitions of Fuzzy Neural Models.
Proceedings of the ECTA and FCTA 2011, 2011

2010
A fast multi-output RBF neural network construction method.
Neurocomputing, 2010

Compact Extreme Learning Machines for biological systems.
Int. J. Comput. Biol. Drug Des., 2010

Convergence of the iterative algorithm for a general Hammerstein system identification.
Autom., 2010

An Efficient Algorithm for Grid-Based Robotic Path Planning Based on Priority Sorting of Direction Vectors.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

Improved Nonlinear PCA Based on RBF Networks and Principal Curves.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

Stabilization of a Class of Networked Control Systems with Random Packet Loss.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

Stability Analysis of Multi-channel MIMO Networked Control Systems.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

Fast Forward RBF Network Construction Based on Particle Swarm Optimization.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

Modelling the Effects of Operating Conditions on Motor Power Consumption in Single Screw Extrusion.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

An Integrated Method for the Construction of Compact Fuzzy Neural Models.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

'Soft-sensor' for real-time monitoring of melt viscosity in polymer extrusion process.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A fast automatic construction algorithm for kernel fisher discriminant classifiers.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Two-Stage Mixed Discrete-Continuous Identification of Radial Basis Function (RBF) Neural Models for Nonlinear Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2009

Two-stage gene selection for support vector machine classification of microarray data.
Int. J. Model. Identif. Control., 2009

A fast method for fuzzy neural network modelling and refinement.
Int. J. Model. Identif. Control., 2009

A new algorithm for structure optimization in fuzzy neural networks.
Proceedings of the 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009

2008
A New Jacobian Matrix for Optimal Learning of Single-Layer Neural Networks.
IEEE Trans. Neural Networks, 2008

Model selection approaches for non-linear system identification: a review.
Int. J. Syst. Sci., 2008

Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007).
Neurocomputing, 2008

Integrated structure selection and parameter optimisation for eng-genes neural models.
Neurocomputing, 2008

Support vector machine classification for large data sets via minimum enclosing ball clustering.
Neurocomputing, 2008

A fast model identification method for networked control system.
Appl. Math. Comput., 2008

2007
A Novel Continuous Forward Algorithm for RBF Neural Modelling.
IEEE Trans. Autom. Control., 2007

MISEP Method for Postnonlinear Blind Source Separation.
Neural Comput., 2007

Recognition of blue-green algae in lakes using distributive genetic algorithm-based neural networks.
Neurocomputing, 2007

Neural input selection - A fast model-based approach.
Neurocomputing, 2007

Prediction- and simulation-error based perceptron training: Solution space analysis and a novel combined training scheme.
Neurocomputing, 2007

Distribution-based adaptive bounding genetic algorithm for continuous optimisation problems.
Appl. Math. Comput., 2007

Modelling the MAPK Signalling Pathway Using a Two-Stage Identification Algorithm.
Proceedings of the Life System Modeling and Simulation, International Conference, 2007

Two-Layer Networked Learning Control of a Nonlinear HVAC System.
Proceedings of the Bio-Inspired Computational Intelligence and Applications, 2007

A Fast Fuzzy Neural Modelling Method for Nonlinear Dynamic Systems.
Proceedings of the Advances in Neural Networks, 2007

Integrated Analytic Framework for Neural Network Construction.
Proceedings of the Advances in Neural Networks, 2007

A New Fast Algorithm for Fuzzy Rule Selection.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
A Hybrid Forward Algorithm for RBF Neural Network Construction.
IEEE Trans. Neural Networks, 2006

System oriented neural networks -- problem formulation, methodology and application.
Int. J. Pattern Recognit. Artif. Intell., 2006

A two-stage algorithm for identification of nonlinear dynamic systems.
Autom., 2006

Fuzzy Modeling of a Medium-Speed Pulverizer Using Improved Genetic Algorithms.
Proceedings of the Intelligent Computing, 2006

A Novel Feature Fusion Approach Based on Blocking and Its Application in Image Recognition.
Proceedings of the Intelligent Computing, 2006

Gene Selection by Cooperative Competition Clustering.
Proceedings of the Computational Intelligence and Bioinformatics, 2006

Staged Neural Modeling with Application to Prediction of NO<sub>x</sub> Pollutant Concentrations in Urban Air.
Proceedings of the Intelligent Computing, 2006

Integrated Structure and Parameter Selection for Eng-genes Neural Models.
Proceedings of the Intelligent Computing, 2006

Real-Time Construction of Neural Networks.
Proceedings of the Artificial Neural Networks, 2006

2005
A Fast Nonlinear Model Identification Method.
IEEE Trans. Autom. Control., 2005

A Fast Input Selection Algorithm for Neural Modeling of Nonlinear Dynamic Systems.
Proceedings of the Advances in Intelligent Computing, 2005

1996
G-cactus and new results on structural controllability of composite systems.
Int. J. Syst. Sci., 1996


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