K. Li, J. Peng, G. Irwin, “A fast nonlinear model identification method”, IEEE Transactions on Automatic Control, Vol. 50, No. 8, 1211-1216, 2005. (For the matlab code, please contact Prof Kang Li)
 K. Li, J. Peng, E-W Bai. “A two-stage algorithm for identification of nonlinear dynamic systems”. Automatica, Vol. 42, No 7, pp. 1189-1197, 2006. (For the matlab code, please contact Prof Kang Li)
 L. Zhang, K. Li, E. Bai, G. W. Irwin, "Two-Stage Orthogonal Least Squares Methods for Neural Network Construction", IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 8, pp. 1608-1621, 2015.
 J. Peng, K. Li, D.S. Huang. “A Hybrid forward Algorithm for RBF neural Network construction”. IEEE Transactions on Neural Networks, Vol 17, No. 6, pp 1439-1451, 2006.
 K. Li, J. Peng, E-W Bai. “Two-stage mixed discrete-continuous identification of Radial Basis Function (RBF) neural models for nonlinear systems”. IEEE Transactions on Circuits & Systems, Vol 56, No. 3, pp. 630-643, March 2009.
 J. Peng, K. Li, G. W. Irwin. “A new Jacobian matrix for optimal learning of single-layer neural nets”. IEEE Transactions on Neural Networks, Vol. 19, No.1, pp.119-129, 2008.
 J. Deng, K. Li, G. W. Irwin, “Locally regularised two-stage learning algorithm for RBF network centre selection”, International Journal of Systems Science, Vol.43, No. 6, pp. 1157-1170, 2012.
 L. Zhang, K. Li, E-W Bai, ‘A new extension of Newton algorithm for Radial Basis Function (RBF) networks modelling’, IEEE Transactions on Automatic Control, Vol. 58 , No. 11, pp. 2929 – 2933, 2013.
 W. Zhao, K. Li, and G. Irwin, “A new gradient descent approach for local learning of fuzzy neural models”, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Fuzzy Systems, Vol. 21, No. 1, pp. 30-44, 2013.
 W. Zhao, J. Zhang, K. Li, “An efficient LS-SVM based method for fuzzy system construction”, IEEE Transactions on Fuzzy Systems, Vol. 23, No. 3, pp. 627-643, 2015.
 B. Pizzileo, K. Li, G. Irwin and W. Zhao, ‘Improved structure optimization for fuzzy-neural networks’, IEEE Transactions on Fuzzy Systems, Vol. 20, No. 6, pp. 1076-1089, 2012.
 X. Liu, K. Li, M. McAfee, G. Irwin, “Improved nonlinear PCA for process monitoring using support vector data description”, Journal of Process Control, Vol. 21, No. 9, 2011, Pages 1306-1317.
 L. Zhang, K. Li, "Forward and backward least angle regression’, Automatica, 2015, Vol.53, pp. 94–102.
 E-W Bai, K. Li. “Convergence of the iterative algorithm for a general Hammerstein system identification”, Automatica, Vol. 46, No.11, pp.1891-1896, 2010.
 E-W Bai, K. Li, W. Zhao, W. Xu, ‘Kernel based approaches to local nonlinear non-parametric variable selection’, Automatica, Vol. 50, No.1, pp.100–113, 2014.
 P. Kump, E-W Bai, K. Chan, B. Eichinger, K. Li. “Variable selection via RIVAL (removing irrelevant variables amidst lasso iterations) and its application to nuclear material detection”, Automatica, Vol. 48, No. 9, pp. 2107–2115, 2012.
 W. Zhao, H. Chen, E. Bai, and K. Li, ‘Kernel-Based Local Order Estimation of Nonlinear Nonparametric Systems’, Automatica, Vol. 51, 2015, pp 243–254.
 H. He, S. Chen, K Li, X. Xu. “Incremental learning from stream data”. IEEE Transactions on Neural Networks, Vol 22, No. 12, pp. 1901-1914, 2011.
 J. Cervantes, X. Li, W. Yu, K. Li. “Support vector machine classification for large data sets via minimum enclosing ball clustering”. Neurocomputing, Volume 71, Issues 4-6, Pages 611-619, 2008.
 J. Cao, D. Harrold, Z. Fan, T. Morstyn, D. Healey, and K. Li, “Deep Reinforcement Learning Based Energy Storage Arbitrage with Accurate Lithium-ion Battery Degradation Model”, IEEE Transactions on Smart Grid, DOI: 10.1109/TSG.2020.2986333, 2020.
 X. Hong, R.J. Mitchell, S. Chen, C. J. Harris, K. Li, G. W. Irwin. “Model selection approaches for non-linear system identification: a review”. International Journal of Systems Science, Vol. 39, No. 10, 925–946, 2008.
 K. Li, “Eng-genes: A new genetic modelling approach for nonlinear dynamic systems”, Proceedings of the 16th IFAC World Congress, Prague, July 4-8, 2005.
 P. Connally, K. Li, G. W. Irwin. “Integrated structure selection and parameter optimisation for eng-genes neural models”, Neurocomputing, Vol. 71, No. 13-15, pp. 2964-2977, 2008.
 P. Gormley, K. Li, O. Wolkenhauer, G. W. Irwin, D. Du, “Reverse engineering of biochemical reaction networks using co-evolution with eng-genes”, Cognitive Computation, Vol. 5, No. 1, pp 106-118, 2013.
 X. Liu, K. Li, M. McAfee, “Dynamic gray-box modeling for online monitoring of extrusion viscosity”. Polymer Engineering & Science, Vol 52, No 6, pp 1332-1341, June 2012
 K. Li, S. Thompson, J. Peng, “Modelling and prediction of NOx emission in a coal-fired power generation plant", Control Engineering Practice, Vol. 12, 707-723, 2004.
 Q. Niu, H. Zhang, K. Li, ‘An improved TLBO with elite strategy for parameters identification of PEM fuel cell and solar cell models’, International Journal of Hydrogen Energy, Vol. 39, pp. 3837–3854, 2014.
 Q. Niu, L. Zhang, K. Li, “A biogeography-based optimization algorithm with mutation strategies for model parameter estimation of solar and fuel cells’, Energy Conversion and Management, 2014, Vol. 86, pp: 1173-1185.
 X. Tang, B. Fox and K. Li, “Reserve from wind power potential in system economic loading”, IET Renewable Power Generation, Vol. 8, No. 5, pp. 558-568, 2014.
 Z. Yang, K. Li, Q. Niu, Y. Xue. ‘A comprehensive study of economic unit commitment of power systems integrating various renewable generations and plug-in electric vehicles’, Energy Conversion and Management, Vol. 132, 460–481, 2017.
 Z. Yang, K. Li, A. Foley, ‘Computational scheduling methods for integrating plug-in electric vehicles with power systems: a review’, Renewable & Sustainable Energy Reviews, Vol. 51, pp. 396–416, 2015.
 Y. Guo, K. Li, D. Laverty, Y. Xue, ‘Synchrophasor-based islanding detection for distributed generation systems using systematic principal component analysis approaches’. IEEE Transactions on Power Delivery, 2015, 10.1109/TPWRD.2015.2435158.
 X. Liu, D.M. Laverty, R.J. Best, K. Li, D.J. Morrow, S. McLoone, ‘Principal component analysis of wide area phasor measurements for islanding detection – a geometric view’, IEEE Transactions on Power Delivery, Vol. 30, No. 2, pp. 976-985, 2015.
 J. Yan, K. Li, E.W. Bai, J. Deng, A. Foley, ‘Hybrid probabilistic wind power forecasting using temporally local Gaussian process’, IEEE Transactions on Sustainable Energy, 2015, 7 (1), 87-95.
 J. Yan, K. Li, E. Bai, X. Zhao, Y. Xue, A. Foley, ‘Analytical Iterative Multi-Step Interval Forecasts of Wind Generation Based on TLGP’, IEEE Transactions on Sustainable Energy, 2019 , 10(2), 625 – 636.
. X. Zhao, K. Li, “Droop setting design for multi-terminal HVDC grids considering voltage deviation impacts”, Electric Power Systems Research, Vol. 123, pp. 67–75, 2015.
. X. Zhao, K. Li, “Adaptive backstepping droop controller design for multi-terminal high-voltage direct current systems “. IET Generation, Transmission & Distribution, Vol. 9, No. 10, pp. 975-983, 2015.
 J. Devlin, K. Li, P. Higgins, A. Foley, “Gas Generation and Wind Power: A Review of Unlikely Allies in the United Kingdom and Ireland’, Renewable & Sustainable Energy Reviews, Vol. 70, 2017, pp. 757-768.
 J. Devlin, K. Li, P. Higgins, A. Foley, “A multi-vector energy analysis for interconnected power and gas Systems’, Applied Energy, Vol. 192, pp. 315-328, 2017.
 J. Devlin, K. Li, P. Higgins, A. Foley, “The Importance of Gas Infrastructure in Power Systems with High Wind Power Penetrations’, Applied Energy, Vol. 167, pp. 294–304, 2016.
 P. Higgins, R. Douglas, R, A.M. Foley, K. Li. “Impact of offshore wind power forecast error in a carbon constraint electricity market”. Energy, 2014, Vol. 76, No.1, pp 187–197, 2014.
 P. Higgins, K. Li, J Devlin, A.M. Foley, ‘The significance of interconnector counter-trading in a security constrained electricity market’, Energy Policy, Vol. 87, pp 110-124, 2015.
 X. Xu, X. Jin, H. Jia, X. Yu, K. Li, “Hierarchical management for integrated community energy systems’, Applied Energy, Vol. 160, pp. 231-243, 2015.
 X. Xu, K. Li, H. Jia, X. Yu, J. Deng, Y. Mu, ‘Data-Driven Dynamic Modeling of Coupled Thermal and Electric Outputs of Microturbines.’ IEEE Transactions on Smart Grid, 2016, 9(2): 1387 – 1396.
 X. Xu, K. Li, F. Qi, H. Jia, J. Deng, ‘Identification of microturbine model for long-term dynamic analysis of distribution networks.’ Applied Energy, Vol. 192, pp. 305-314, 2017.
 W. Deng, K. Li, J. Deng, ‘Event-triggered H infinity position control of receiver coil for effective mobile wireless charging of electric vehicles’, Transactions of Institute of Measurement and Control, 2018, 40 (4): 3994-4003.
 J. Zhang, K. Li and J. Xu, ‘Recent developments of control strategies for organic Rankine cycle (ORC) systems’, Transactions of Institute of Measurement and Control, 2019, 41(6): 1528-1539.
 J. Zhang, M. Lin, J. Chen, J. Xu, K. Li, ‘PLS-based multi-loop robust H2 control for improvement of operating efficiency of waste heat energy conversion systems with organic Rankine cycle’, Energy, Vol 123, Pages 460–472, 2017.
 C. Zhang, K. Li, L. Pei; C. Zhu, ‘An integrated approach for real-time model-based state-of-charge estimation of lithium-ion batteries’, Journal of Power Sources, Vol. 283, pp. 24-36, 2015.
 C. Zhang, K. Li, J. Deng, ‘Real-time Estimation of Battery Internal Temperature Based on a Simplified Thermoelectric Model’, Journal of Power Sources, Vol. 302, pp.146–154, 2016.
 C. Zhang, K. Li, J. Deng, S. Song, ‘Improved Real-time State-of-Charge Estimation of LiFePO4 Battery Based on a Novel Thermoelectric Model’, IEEE Transactions on Industrial Electronics, Vol 64, No. 1, pp 654-663, 2017.
 K. Liu, K. Li, Z. Yang, J. Deng, ‘An advanced Lithium-ion battery optimal charging strategy based on a coupled thermoelectric model’, Electrochimica Acta, Vol. 225, pp. 330–344, 2017.
 K. Liu, K. Li, and C. Zhang, ‘Constrained generalized predictive control of battery charging process based on a coupled thermoelectric model’, Journal of Power Sources, 2017, Vol. 347, Pages 145–158.
 K. Liu, K. Li, H. Ma, J. Zhang, ‘Multi-objective optimization of charging patterns for Lithium-ion battery management’, Energy Conversion and Management, 2018, Vol. 159, 2018, Pages 151–162.
 K. Liu, C. Zou, K. Li, T. Wik, "Charging Pattern Optimization for Lithium-Ion Batteries with An Electrothermal-Aging Model", IEEE Transactions on Industrial Informatics, Vol. 14, No. 2, 5463 – 5474, 2018.
 S. Li, K. Li, E. Xiao, J. Zhang, M. Zheng, ‘Real-time peak power prediction for zinc nickel single flow batteries’, Journal of Power Sources, 448, 227346, 2019.
 S. Li, K. Li, E. Xiao, J. Zhang, P. Fischer, R. Xiong, ‘A Novel Model Predictive Control Scheme Based Observer for Working Conditions and Reconditioning Monitoring of Zinc-Nickel Single Flow Batteries’, Journal of Power Sources, Vol. 445, 2020, 227282.
 S. Li, K. Li, E. Xiao, CK Wong, ‘Joint SoC and SoH Estimation for Zinc-Nickel Single Flow Batteries’, IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2019.2949534, 2019.
 C. Abeykoona, K. Li, Peter J. Martin, Adrian L. Kelly, “Monitoring and Modelling of the Effects of Process Settings and Screw Geometry on Melt Pressure Generation in Polymer Extrusion”, International Journal of System Control and Information Processing (IJSCIP), , 2012 Vol.1, No.1, pp.71 - 88.
 X. Liu, K. Li, M. McAfee, B.K. Nguyen, G. McNally, “Dynamic Grey-box Modeling for On-line Monitoring of Polymer Extrusion Viscosity’’, Polymer Engineering and Science, Vol 52, No 6, pp 1332-1341, June 2012.
 J. Deng, K. Li, E. Harkin-Jones, M. Price, N. Karnachi, M. Fei, A. Kelly, J. Vera-Sorroche, P. Coates, E. Brown, “Low-cost process monitoring for polymer extrusion”, Transactions of the Institute of Measurement and Control, Vol. 36, No. 3, pp. 382-390, 2013.
 C. Abeykoona, K Li, M. McAfee, P. J. Martin, Q. Niu, A. L. Kelly, J. Deng, “A new model based approach for the prediction and optimisation of thermal homogeneity in single screw extrusion”, Control Engineering Practice, Vol 19, No 8, 2011, pp 862-874.
 C. C. Abeykoon, M. McAfee, K. Li, P. J. Martin, A. L. Kelly, “The inferential monitoring of the screw disturbance torque to predict process fluctuations in polymer extrusion”, Journal of Materials Processing Technology, Vol 211, No 12, 2011, pp 1907-1918.
 C. Abeykoon, P. J. Martin, A. L. Kelly, K. Li, E. C. Brown, P. D. Coates. “Investigation of the temperature homogeneity of die melt flows in polymer extrusion”. Polymer Engineering & Science, Vol. 54, No 10, pp. 2430–2440, 2014.
 J. Vera-Sorroche, A. Kelly, E. Brown, P. Coates, N. Karnachi, E. Harkin-Jones, K. Li, and J. Deng, “Thermal optimisation of polymer extrusion using in-process monitoring techniques," Applied Thermal Engineering, Vol. 53, No. 2, 2013, Pages 405–413.
 C. Abeykoon, A. Kelly, J. Vera-Sorroche, E. Brown, P. Coates, J. Deng, K. Li, E. Harkin-Jones, M. Price. “Process Efficiency in Polymer Extrusion: Correlation between the Energy Demand and Melt Thermal Stability”. Applied Energy, Vol. 135, pp: 560–571, 2014.
 J. Deng, K. Li, E. Harkin-Jones, M. Price, N. Karnachi, A. Kelly, J. Vera-Sorroche, P. Coates, E. Brown, M. Fei, “Energy monitoring and quality control of a single screw extruder”, Applied Energy, Vol. 113, Pages 1775–1785, January 2014.
 X. Liu, K. Li, M. McAfee, G.W. Irwin, “Improved nonlinear PCA for process monitoring using support vector data description’’ Journal of Process Control, Vol.21, No.9, 2011, pp.1306-1317.
 Z. Yang, W. Naeem, G. McNary, J. Deng, K. Li. “Advanced Modelling and Optimization of Infared Oven in Injection Stretch Blow-moulding for Energy Saving”, 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa, 2014.
 Y. Wang, K. Li, S. Gan, C. Cameron, ‘Analysis of energy saving potentials in intelligent manufacturing: A case study of bakery plants’, Energy, Vol. 172, 2019, pp 477-486.
 C. Cameron, W. Naeem and K. Li. “Functional QoS Metric for LoRaWAN Applications in Challenging Industrial Environment”, 16th IEEE International Conference on Factory Communication Systems, Porto, Portugal, April 27-29, 2020.
 Y. Wang, K. Li, S. Gan, and C. Cameron. ‘Missing Data Imputation with OLS-based Autoencoder for Intelligent Manufacturing’. IEEE Transactions on Industry Applications, 55 (6), 7219-7229, 2019.
 S. Gan, S. Liang, K. Li, J. Deng, T. Cheng, ‘Trajectory length prediction for intelligent traffic signalling: a data driven approach,’ IEEE Transactions on Intelligent Transportation Systems, Vol. 19, No. 2, 426 – 435, 2017.
 S. Gan, S. Liang, K. Li, J. Deng, T. Cheng, ‘Long-term ship speed prediction for intelligent traffic signalling’, IEEE Transactions on Intelligent Transportation Systems, Vol. 18, No. 1, pp. 82-91, 2017.
 P. Sun, K. Li, Y. Li, L. Zhang, ‘DC Voltage Control for MMC based Railway Power Supply Integrated with Renewable Generation’, submitted, 2020.
 Yongfei Li, Kang Li, Li Zhang, Yong Li, ‘A Novel Double-layer DC/AC Railway Power Supply System with Renewable Integration’, submitted, 2020.
 Chen Xing, Kang Li, Li Zhang, Wei Li, ‘Optimal Compensation Control of Railway Co-phase Traction Power Supply Integrated with Renewable Energy Based on NSGA-II’, submitted, 2020.