Skip to main content
Menu

Control Systems Group: Publications

Journal

  1. X. Shu, S. Shen, J. Shen, Y. Zhang, G. Li, Z. Chen and Y. Liu, State of Health Prediction of Lithium-Ion Batteries Based on Machine Learning: Advances and Perspectives, iScience, 103265, Oct 2021. 
  2. Z. Chen, Y. Liu , M. Ye, Y. Zhang and G. Li, A survey on key techniques and development perspectives of equivalent consumption minimisation strategy for hybrid electric vehicles, Renewable and Sustainable Energy Reviews, 151 01 Nov 2021.
  3. Z. Liao, P. Stansby, G. Li and E. C. Moreno, "High-Capacity Wave Energy Conversion by Multi-Float, Multi-PTO, Control and Prediction: Generalized State-Space Modelling With Linear Optimal Control and Arbitrary Headings," in IEEE Transactions on Sustainable Energy, vol. 12, no. 4, pp. 2123-2131, Oct. 2021, doi: 10.1109/TSTE.2021.3082510.
  4. J. Na, Y. Huang,  X. Wu, Y. Liu, Y. Li and G. Li, Active suspension control of quarter-car system with experimental validation, accepted by IEEE Transactions on Systems, Man and Cybernetics- Systems.
  5. X. Shu, J. Shen, G. Li, Y. Zhang, Z. Chen and Y. Liu, "A Flexible State-of-Health Prediction Scheme for Lithium-Ion Battery Packs With Long Short-Term Memory Network and Transfer Learning," in IEEE Transactions on Transportation Electrification, vol. 7, no. 4, pp. 2238-2248, Dec. 2021, doi: 10.1109/TTE.2021.3074638.
  6. X. Shu, G. Li, Y. Zhang, S. Shen, Z. Chen and Y. Liu, "Stage of Charge Estimation of Lithium-Ion Battery Packs Based on Improved Cubature Kalman Filter With Long Short-Term Memory Model," in IEEE Transactions on Transportation Electrification, vol. 7, no. 3, pp. 1271-1284, Sept. 2021, doi: 10.1109/TTE.2020.3041757.
  7. Z. Han, Z. Liu, W. He and G. Li, Distributed Parameter Modelling and Boundary Control of an Octopus Tentacle Inspired Soft Robot, accepted by IEEE Transactions on Control Systems Technology
  8. Y. Liu, J. Xie, D. Qin, Y. Zhang, Z. Chen, G. Li and Y. Zhang, Design, Control and Validation of Two-Speed Clutch-less Automatic Transmission for Electric Vehicle, accepted by IEEE/ASME Transactions on Mechatronics
  9. Y. Liu, B. Zhou, X. Wang, L. Li C. Shuo, Z. Chen, G. Li and L. Zhang, Dynamic Lane-Changing Trajectory Planning for Autonomous Vehicles Based on Discrete Global Trajectory, accepted by Transactions on Intelligent Transportation Systems. 
  10. Y. Zhang, Y. Liu, Y. Huang, Z. Chen, G. Li, W. Hao, G. Cunningham, J. Early, An Optimal Control Strategy Design for Plug-in Hybrid Electric Vehicles Based on Internet of Vehicles, accepted by Energy.
  11. X. Shu, J. Shen, G. Li, Y. Zhang, Z. Chen and Y. Liu, A Flexible State of Health Prediction Scheme for Lithium-Ion Battery Packs with Long Short-Term Memory Network and Transfer Learning, accepted by IEEE Transactions on Transportation Electrification.
  12. J. Li, Y. Liu, Y. Zhang, Z. Lei, Z. Chen and G. Li*, Data-Driven Based Eco-Driving Control for Plug-in Hybrid Electric Vehicles, accepted by Journal of Power Sources.
  13. S. Zhang, S. Yuan, X. Yu L. Kong, Q. Li and G. Li,  Adaptive Neural Network Fixed-Time Control Design for Bilateral Teleoperation with Time Delay, IEEE Transactions on Cybernetics, in press.
  14. Q. Xue, S. Shen, G. Li, Y. Zhang, Z. Chen and Y. Liu, Remaining Useful Life Prediction for Lithium-ion Batteries Based on Capacity Estimation and Box-Cox Transformation, IEEE Transactions on Vehicular Technology, Vol. 69 (12),  pp. 14765 - 14779, 2020. DOI: 10.1109/TVT.2020.3039553
  15. J. Feng, Z. Liu, X. He, Q. Fu and G. Li, Adaptive Vibration Control for an Active Mass Damper of a High-rise Building, accepted by IEEE Transactions on Systems, Man and Cybernetics: SystemsDOI: 10.1109/TSMC.2020.3036891
  16. J. Shen, J. Xiong, X. Shu, G. Li, Y. Zhang, Z. Chen and Y. Liu, State of Charge Estimation Framework for Lithium-ion Batteries Based on Square Root Cubature Kalman Filter under Wide Operation Temperature Range, International Journal of Energy Research. 1-16, 2020.  
  17. M.S.S. Malik, G. Li and Z. Chen, An optimal charging algorithm to minimise solid electrolyte interface layer in lithium-ion battery, Vol 482, 228895, Journal of Power Sources, 2021. https://doi.org/10.1016/j.jpowsour.2020.228895
  18. Z. Chen, H. Hu, Y. Wu, Y. Zhang, G. Li and Y. Liu, Stochastic Model Predictive Control for Energy Management of Power-Split Plug-in Hybrid Electric Vehicles Based on Reinforcement Learning, Vol. 211, 118931, Energy, 2020. https://doi.org/10.1016/j.energy.2020.118931
  19. Y. Wu, Y. Zhang, G. Li, J. Shen, Z. Chen and Y. Liu, A Predictive Energy Management Strategy for Multi-Mode Plug-in Hybrid Electric Vehicles Based on Multi Neural Networks, Energy, Vol. 208, 118366, 2020. https://doi.org/10.1016/j.energy.2020.118366
  20. Y. Zhang, P. Stansby and G. Li, Non-causal Linear Optimal Control with Adaptive Sliding Mode Observer for Multi-Body Wave Energy Converters, IEEE Transactions on Sustainable Energy, accepted, 2020. DOI: 10.1109/TSTE.2020.3012412
  21. X. Shu, G. Li, J. Shen Z. Lei, Z. Chen and Y. Liu, An Adaptive Multi-State Estimation Algorithm for Lithium-ion Batteries Incorporating Temperature Compensation Energy, Energy, vol 67, 118262, 2020. https://doi.org/10.1016/j.energy.2020.118262
  22. Y. Zhang, C. Guo, C. Sun, Z. Chen, G. Li, Y. Liu, Cooperative Charging Management for Electric Vehicles via Mobile Edge Computation, Journal of Power Sources, vol. 251, 119627, April 2020. https://doi.org/10.1016/j.jclepro.2019.119627
  23. X. Shu, G. Li, Y. Zhang, J. Shen , Z. Chen and Y. Liu, Online diagnosis of state of health for Lithium-ion batteries based on short-term charging profiles, Journal of Power Sources, vol. 471, 228478, 2020. https://doi.org/10.1016/j.jpowsour.2020.228478
  24. W. He, W. Xiang, X. He and G. Li, Boundary vibration control of a floating wind turbine system with mooring lines, Control Engineering Practice, Vol 101, 104423, August 2020. https://doi.org/10.1016/j.conengprac.2020.104423
  25. X. Shu, G. Li J. Shen , Z. Lei , Z, Chen and Y. Liu. A Uniform Estimation Framework for State of Health of Lithium-ion Batteries Considering Feature Extraction and Parameters Optimization, Energy, vol. 204, 117957, August 2020. https://doi.org/10.1016/j.energy.2020.117957
  26. J. Feng, X. He, S. Zhang and G. Li, Vibration suppression an dangle tracking of a a fire-rescue ladder, Nonlinear Dynamics, vol. 100, pp. 23652380, 2020. https://doi.org/10.1007/s11071-020-05651-1
  27. Z. Liao, P. Stansby and G. Li, A generic linear non-causal optimal control framework integrated with wave excitation force prediction for multi-mode wave energy converters with application to M4, Applied Ocean Research, vol. 97, 102056, 2020. https://doi.org/10.1016/j.apor.2020.102056
  28. Y. Zhang and G. Li*, Robust Excitation Force Estimation and Prediction for Wave Energy Converter M4 Based on Adaptive Sliding-Mode Observer, IEEE Transactions on Industrial Informatics, vol.16(2), pages 1163-1171, 2020. DOI: 10.1109/TII.2019.2941886
  29. Y. Liu, J. Liu, Datong Qin, G. Li, Z. Chen, and Y. Zhang, Online Energy Management Strategy of Fuel Cell Hybrid Electric Vehicles Based on Rule Learning, Journal of Cleaner Production, Vol. 260, 121017,July 2020. https://doi.org/10.1016/j.jclepro.2020.121017
  30. J. Na, Y. Huang,  X. Wu, S. Su and G. Li, Adaptive Finite-time fuzzy control of nonlinear active suspension systems with input delay, IEEE Transactions on Cybernetics, vol. 50, no. 6, pp. 2639-2650, June 2020, DOI: 10.1109/TCYB.2019.2894724
  31. S. Zhan, J. Na , G. Li and B. Wang, Adaptive Model Predictive Control of Wave Energy Converters, IEEE Transactions on Sustainable Energy, vol.11(1), pp. 229-238, 2020.  DOI: 10.1109/TSTE.2018.2889767
  32. X. Shu, G. Li, J. Shen, W. Yan, Z. Chen and Y. Liu, An Adaptive Fusion Estimation Algorithm for State of Charge of Lithium-ion Batteries Considering Wide Operating Temperature and Degradation, Journal of Power Sources, Vol. 462, 228132, Mar. 2020. https://doi.org/10.1016/j.jpowsour.2020.228132
  33. J. Li, Y. Liu, D. Qin, G. Li, and Z. Chen, Research on Equivalent Factor Boundary of Equivalent Consumption Minimization Strategy for PHEVs, IEEE Transactions on Vehicular Technology, vol 69(6) pp. 6011-6024, Apr. 2020. DOI: 10.1109/TVT.2020.2986541
  34. H. Kong, C. Yang and G. Li, et al. A sEMG-Based Shared Control System with No-Target Obstacle Avoidance for Omnidirectional Mobile Robots, IEEE access, vol. 8, pp. 26030-26040, 2020. DOI: 10.1109/ACCESS.2020.2970468
  35. S. Zhang, P. Yang, L. Kong, G. Li and W. He, A Single Parameter-based Adaptive Approach to Robotic Manipulators with Finite Time Convergence and Actuator Fault, IEEE access, Vol. 8, pages 15123 - 15131, 2020. DOI: 10.1109/ACCESS.2020.2966639
  36. Y. Zhang, C. Guo, G. Li, Y. Liu and Z. Chen, Cooperative Control Strategy for Plug-in Hybrid Electric Vehicles Based on a Hierarchical Framework with Fast Calculation, Journal of Cleaner Production, vol. 251, 119627, 2020. https://doi.org/10.1016/j.jclepro.2019.119627
  37. J. Na, Y. Huang, Q. Pei, X. Wu, G. Gao and G. Li, Active suspension control of full-car systems without function approximation, IEEE/ASME Transactions on Mechatronics, vol. 22 (2), pp. 779-791, 2020. DOI: 10.1109/TMECH.2019.2962602
  38. Z. Liao, P. Stansby, G. Li*, Linear non-causal optimal control of an attenuator type wave energy converter M4, IEEE Transactions on Sustainable Energy, vol. 11, no. 3, pp. 1278-1286, July 2020.  DOI: 10.1109/TSTE.2019.2922782
  39. X. He, W. He, Y. Liu, Y. Wang, G. Li, Y. Wang, Robust Adaptive Control of an Offshore Ocean Thermal Energy Conversion System, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 50, no. 12, pp. 5285-5295, June 2020, doi: 10.1109/TSMC.2018.2870999
  40. Y. Zhang and G. Li, Non-causal Linear Optimal Control of Wave Energy Converters with Enhanced Robustness by Sliding Mode Control, IEEE Transactions on Sustainable Energy,  vol.11(4),  pp. 2201-2209,  2019. DOI: 10.1109/TSTE.2019.2952200
  41. T. Zeng, Y. Zhang, J. Na, X. Ren and G.Li, An Integrated Optimal Design for Guaranteed Cost Control of Motor Driving System with Uncertainty, IEEE/ASME Transactions on Mechatronics, vol 26(4), pages 2606 - 2615, 2019. DOI: 10.1109/TMECH.2019.2937578
  42. Y. Liu, P. Zhao, D. Qin, G. Li, Z. Chen and Y. Zhang, Driving Intention Identification Based on Long Short-Term Memory and A Case Study in Shifting Strategy Optimization, IEEE Access, vol 6, pp128593 - 128605, 2019. DOI:10.1109/ACCESS.2019.2940114
  43. S. Zhan, J. Na and G. Li*, Nonlinear Noncausal Optimal Control of Wave Energy Converters via Approximate Dynamic Programming, IEEE Transactions on Industrial Informatics, vol.15(11), pages 6070 - 6079, 2019. DOI: 10.1109/TII.2019.2935236
  44. S. Zhan, G. Li*, C. Bailey, Economic feedback model predictive control of wave energy converters,IEEE Transactions on Industrial Electronics, vol 67(5), pp. 3932-3943, 2020. DOI: 10.1109/TIE.2019.2922947
  45. S Zhan, G. Li*, J. Na and W. He, Feedback noncausal model predictive control of wave energy converters, Control Engineering Practice, vol 85, pp. 110-120, 2019. https://doi.org/10.1016/j.conengprac.2018.12.015
  46. J. Na, B. Wang, G. Li*, S. Zhan, and W. He, Nonlinear Constrained Optimal Control of Wave Energy Converters with Adaptive Dynamic Programming, IEEE Transactions on Industrial Electronics, vol 66(10), pp 7904 - 7915, 2019. DOI: 10.1109/TIE.2018.2880728
  47. W. He, T. Meng, S. Zhang, J.K. Liu, G. Li, C.Y. Sun, Dual-Loop Adaptive Iterative Learning Control for a Timoshenko Beam with Output Constraint and Input Backlash, IEEE Transactions on Systems, Man and Cybernetics, vol. 49(5), pp. 1027 - 1038, 2019. DOI: 10.1109/TSMC.2017.2692529
  48. Y. Zhang, R. Vepa, G. Li*, T. Zeng, Mars Powered Descent Phase Guidance Design Based on Fixed-time Stabilization Technique,IEEE Transactions on Aerospace and Electronic Systems, vol 55(4), pages 2001 - 2011, 2019. DOI: 10.1109/TAES.2018.2880051
  49. J. Na, G. Li*, B. Wang, G. Herrmann, S. Zhan, Robust Optimal Control of Wave Energy Converters Based on Adaptive Dynamic Programming, IEEE Transactions on Sustainable Energy, vol.10(2), 961 - 970, 2019. DOI: 10.1109/TSTE.2018.2856802
  50. S. Zhan and G. Li*, Linear optimal noncausal control of wave energy converters, IEEE Transactions on Control Systems Technology, vol. 27(4), pages 1526 - 1536, 2019. DOI: 10.1109/TCST.2018.2812740
  51. S. Kang , J. Wang, G. Li , J. Shan and I. Petersen, Optimal Cooperative Guidance Law Design: an MPC-based Consensus Perspective, IEEE Transactions on Aerospace and Electronic Systems, vol. 54(5), 2018. DOI: 10.1109/TAES.2018.2816880
  52. L Kong, W He, C Yang, G Li, Z Zhang, Adaptive fuzzy control for a marine vessel with time-varying constraints, IET Control Theory & Applications, vol.12(10), pages 1448 - 1455, 2018. DOI: 10.1049/iet-cta.2017.0757
  53. J. Liu, G. Li and H. K. Fathy, An Extended Differential Flatness Approach for the Health-Conscious Nonlinear Model Predictive Control of Lithium-Ion Batteries,IEEE Transactions on Control Systems Technology, vol. 25 (5), pp. 1882 - 1889, 2017. DOI: 10.1109/TCST.2016.2624143
  54. J. Liu, G. Li and H. K. Fathy, A computationally efficient approach for optimizing lithium-ion battery charging, ASME Journal of Dynamic Systems, Measurement, and Control, Feb, 2016.
  55. Y. Jiang, C. Yang, J. Na, G. Li, Y. Li and J. Zhong, A Brief Review of Neural Networks based Learning and Control and their Applications for Robots, Vol. 2017, Article ID 1895897, 14 pages, Complexity, 2017. https://doi.org/10.1155/2017/1895897
  56. G. Li. Nonlinear model predictive control of a wave energy converter based on differential flatness parameterisation, International Journal of Control, 90 (1), pp. 68-77, 2017. https://doi.org/10.1080/00207179.2015.1088173
  57. G. Li, J. Na, D. Stoten and X. Ren. Adaptive Neural Network Feedforward Control for Dynamically Substructured Systems, IEEE Trans. on Control Systems Technology, Vol. 22, Issue 3, May 2014. DOI: 10.1109/TCST.2013.2271036
  58. G. Li and M. Belmont. Model predictive control of sea wave energy converters - Part I: a convex approach for a single device, Renewable Energy, Volume 69, pages 453-463, 2014. https://doi.org/10.1016/j.renene.2014.03.070
  59. G. Li and M. Belmont. Model predictive control of an array of sea wave energy converters - Part II: an array of devices, Renewable Energy, Vol. 68, pages 540-549, 2014.PDF https://doi.org/10.1016/j.renene.2014.02.028
  60. G. Li. Dynamically substructured system frameworks with strict separation of numerical and physical components, Structural Control and Health Monitoring, Vol. 21, Issue 10, pages 1316-1333, 2014. https://doi.org/10.3182/20140824-6-ZA-1003.01369
  61. R. M. Morales, G. Li and W. P. Heath. Anti-windup and the preservation of robustness against structured norm-bounded uncertainty, International Journal of Robust and Nonlinear Control, 2013. https://doi.org/10.3182/20080706-5-KR-1001.02398
  62. G. Li, G. Herrmann, D. P. Stoten, J. Tu, M. C. Turner. Application of robust anti-windup techniques to dynamically substructured systems, IEEE/ASME Transactions on Mechatronics, Vol 18. No 1, pages 263-272, 2013. DOI:10.1109/TMECH.2011.2167237PDF
  63. N. S. Ahmad, W. P. Heath and G. Li, LMI-based stability criteria for discrete-time Lur'e systems with sector- and slope-restricted nonlinearities, IEEE Transactions on Automatic Control, vol 58, no. 2 pp. 459-465, 2013. DOI: 10.1109/TAC.2012.2206721
  64. G. Li, G. Weiss, M. Mueller, S. Townley and M. R. Belmont (2012).  Wave energy converter control by wave prediction and dynamic programming. Renewable Energy vol. 48, 392-403. https://doi.org/10.1016/j.renene.2012.05.003
  65. J. Carrasco, W. P. Heath, G. Li and A. Lanzon. Comments on ``On the Existence of Stable, Causal Multipliers for Systems with Slope-Restricted Nonlinearities'',  IEEE Transactions on Automatic Control, Vol 57, No 9,  pages 2422-2428, 2012. DOI: 10.1109/TAC.2011.2179848
  66. G. Li, G. Herrmann, D. P. Stoten, J. Tu, M. C. Turner. A novel disturbance rejection anti-windup framework, International Journal of Control, Vol 84, Issue 1, pp. 123-137, 2011. https://doi.org/10.1080/00207179.2010.542774
  67. J. Tu, D. P. Stoten, R. A. Hyde, G. Li. A State-Space Approach for the Con- trol of Dynamically Substructured Systems, Proc IMechE - Part I: Journ. Sys. Cont. Eng, 2011.
  68. G. Li, D. P. Stoten and J. Tu. Model predictive control of dynamically substructured systems with application to a servohydraulically-actuated me- chanical plant, IET Control Theory & Applications, special issue on Ad- vances in Complex Control Systems Theory and Applications, Vol 4, Issue 2, pp.253-264, 2010. DOI: 10.1049/iet-cta.2009.0011
  69. W. P. Heath, G. Li. Multipliers for model predictive control with structured input constraints, Automatica, Vol 46, Issue 3, pp.562 - 568, 2010. https://doi.org/10.1016/j.automatica.2010.01.020
  70. W. P. Heath, G. Li. Lyapunov functions for the multivariable Popov criterion with inde nite multipliers, Automatica, 45 (12), pages 2977-2981, 2009. https://doi.org/10.1016/j.automatica.2009.09.010
  71. D. P. Stoten, J. Tu, and G. Li. Synthesis and control of generalised dynamically substructured systems, Proc IMechE - Part I: Journ. Sys. Cont. Eng, pages 371-392, 2009.
  72. J. Tu, P. Lin, D. P. Stoten and G. Li. Testing of dynamically substructured, base-isolated systems using adaptive control techniques, Earthquake Engineering and Structural Dynamics, 2009. https://doi.org/10.1002/eqe.962
  73. G. Li, W. P. Heath and B. Lennox. Concise stability conditions for systems with static nonlinear feedback expressed by a quadratic program, IET Control Theory & Applications, pages 554-563, 2008. DOI: 10.1049/iet-cta:20070225

Conference

  1. Z. Liao, G. Li and P. Stansby, Linear optimal control on a multi-PTO wave energy converter M4 with performance analysisDevelopments in Renewable Energies Offshore: Proceedings of the 4th International Conference on Renewable Energies Offshore, RENEW 2020, Lisbon, Portugal, 12-15 October 2020.
  2. Y. Ma, X. He, G. Li, W. He, Time-delay Compensation and Stabilization for a Flexible Satellite,  39th Chinese Control Conference (CCC), pp. 809-814, 2020
  3. Y. Zhang, S. Zhan and G. Li, Model Predictive Control of Wave Energy Converters with Prediction Error Tolerance, IFAC World Congress, 2020.
  4. Y. Zhang and G. Li*, Wave Excitation Force Estimation for Wave Energy Converters Using Adaptive Sliding Mode Observer, American Control Conference, Philadelphia, 2019.
  5. Z. Liao and G. Li*, Energy-maximizing control of pitch type wave energy converter M4, American Control Conference, Philadelphia, 2019.
  6. Y. Zhang, G. Li and W. He, Excitation Force Estimation for Wave Energy Converters Using Super Twisting Observer, the 15th International Conference on Intelligent Unmanned Systems, Beijing, 2019.
  7. Z. Liu, G. Li and W. He, Vibration control for a flexible aerial refueling hose under input magnitude and rate constraints, the 15th International Conference on Intelligent Unmanned Systems, Beijing, 2019.
  8. R. Liu, S. Zhang, X. Qian and G. Li, Boundary Output Feedback Control of a Flexible Manipulator System with High-gain Observers, the 15th International Conference on Intelligent Unmanned Systems, Beijing, 2019.
  9. S. Zhan and G. Li*, Indefinite feedback MPC with preview information of bounded disturbance, the 57th IEEE Conference on Decision and Control (CDC), Fontainebleau, Miami Beach, FL, USA on Dec. 17-19, 2018.
  10. S. Zhan, B. Wang, J. Na, G. Li*, Adaptive Optimal Control of Wave Energy Converters, the 11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles, Opatija, Croatia, Sep. 10-12, 2018.
  11. Z. Liao, G. Nian,P. Stansby and G. Li*, Control-Oriented Modelling for Wave Energy Converter M4, the 4th Asian Wave and Tidal Energy Conference (AWTEC 2018), Taipei, Taiwan, Sep. 9-13, 2018.
  12. J. Na, G. Li*, S. Zhan, Online Optimal Control of Wave Energy Converters Via Adaptive Dynamic Programming, American Control Conference, Milwaukee, June, 2018.
  13. L. Kong, W. He, C. Yang, G. Li, Guaranteed Transient Response Control for a Marine Vessel with Time-varying Constraint by Fuzzy Approximator, American Control Conference, Milwaukee, June, 2018.
  14. Y Zhao, W He, C Sun, G Li, C Yang, Adaptive Control of a Marine Vessel Based on Reinforcement Learning, the 37th Chinese Control Conference (CCC), 2018.
  15. T Zeng, X Ren, G Li, Y Zhang, Sliding Mode Extremum Seeking Control of Motor Driving Nonlinear System, teh 37th Chinese Control Conference (CCC), 2018.
  16. Y Song, X He, G Li, W He, C Sun, Vibration control for a floating ocean thermal energy conversion system, the 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2018.
  17. D Hou, J Na, G Gao, G Li, Data-Driven Adaptive Optimal Tracking Control for Completely Unknown Systems, IEEE the 7th Data Driven Control and Learning Systems Conference (DDCLS), 2018.
  18. S. Zhan and G. Li, A reliable optimal controller design methodfor seawave energy converters, the 12th European Wave and Tidal Energy Conference, Cork, Ireland, September, 2017.
  19. S. Zhan, G. Li and W. He, Robust Feedback Model Predictive Control of Sea Wave Energy Converters, the 20th World Congress of the International Federation of Automatic Control, Toulouse, 2017.
  20. Y. Ouyang, W. He X. Li J. Liu, G. Li, Vibration Control Based on Reinforcement Learning for a Single-link Flexible Robotic Manipulator, the 20th World Congress of the International Federation of Automatic Control, Toulouse, 2017
  21. M. Zou, W. He, Xiuyu He, M. Zhao, C. Yang, G. Li, Boundary Control Design for a Flexible Manipulator with Input Backlash, the 20th World Congress of the International Federation of Automatic Control, Toulouse, 2017.
  22. Xiang W., He W., He X., Xu S., Li G., Sun C. Three-Dimensional Vibrations Control Design for a Single Point Mooring Line System with Input Saturation. In: Liu D., Xie S., Li Y., Zhao D., El-Alfy ES. (eds) Neural Information Processing. Lecture Notes in Computer Science, vol 10639. Springer, 2017.
  23. S. Zhan, H. Huijberts, J. Na and G. Li, Optimal controller design and constraints analysis of a sea wave energy converter, UKACC, Belfast, 2016.
  24. S. Kang and J. Wang and G. Li and J. Shan, MPC-Consensus based Optimal Cooperative Guidance Law Design, IEEE Chinese Guidance, Navigation and Control Conference, Nanjing, China, 2016.
  25. L. Wang, W. Zhang, J. Na, G. Li and S. Su, Robust Repetitive Control of Three-phase Inverter System using High order Internal Model, Chinese Control Conference, Chengdu, China, 2016.
  26. J. Liu, G. Li and H. K. Fathy, Efficient Total Least Squares State Estimation For Differentially Flat Systems, American Control Conference, July, 2016.
  27. G. Li, Predictive control of a wave energy converter with wave prediction using differential flatness, IEEE Conference on Decision and Control, Japan, Dec, 2015.
  28. J. Liu, G. Li and H. K. Fathy, Efficient Lithium-ion Battery Model Predictive Control Using Differential Flatness-Based Pseudospectral Methods, Proceedings of ASME 2015 Dynamic Systems and Control Conference, Columbus, Ohio, USA, October 28-30, 2015.
  29. H. K. Fathy and G. Li, First Observations from a Partially Inverted System Dynamics Course, American Control Conference, 2015.
  30. G. Li, M. R. Belmont. Model Predictive Control of a Sea Wave Energy Converter: A Convex Approach, the 19th IFAC World Congress, Cape Town, South Africa, August, 2014.
  31. G. Li. A Generic Dynamically Substructured System Framework and Its Dual Counterparts, the 19th IFAC World Congress, Cape Town, South Africa, August, 2014.
  32. J. Liu, G. Li, H. K. Fathy, S. Brennan and J. Anstrom, Exploiting differential atness and pseudospectral optimization to improve the computational efficiency of health-conscious Lithium-ion battery control, ECS conference, Cancun, Mexico, 2014.
  33. G. Li and M. R. Belmont. Model predictive control of wave energy converters, the 10th European Wave and Tidal Energy Conference, Alborg, Denmark, 2013.
  34. J. Na, G. Li, M. Ryujiy and S. Luigi. System Identi cation and Robust Anti-windup Control for a Helium Liquifier, UKACC, Cardiff, 2012.
  35. G. Weiss, G. Li, M. Mueller, S. Townley, and M. R. Belmont. Optimal control of wave energy converters using deterministic sea wave prediction, The Energy & Materials Research Conference, Torremolinos, Malaga, Spain, June, 2012.
  36. R. M. Morales, W. P. Heath and G. Li. Robustness preserving anti-windup for SISO systems, IEEE Conference on Decision and Control, Orlando, FL, USA, 2011.
  37. W. P. Heath, R. M. Morales and G. Li. Robustness preserving antiwindup: examples and counterexamples, IEEE Multi-conference on Systems and Control, Denver, Co, USA, 2011.
  38. G. Li, J. Na, D. Stoten and X. Ren. Adaptive feedforward control for dynamically substructured systems based on neural network compensation, IFAC World Congress, Milan, Italy, 2011.
  39. G. Li, W. P. Heath and G. Herrmann. Robust anti-windup compensator synthesis using integral quadratic constraints, IFAC World Congress, Milan, Italy, 2011.
  40. N. Syazreen Ahmad, W.P. Heath and G. Li. Lyapunov Functions for Generalized Discrete-time Multivariable Popov Criterion, IFAC World Congress, Milan, Italy, 2011.
  41. N. Syazreen Ahmad, W.P. Heath and G. Li. Lyapunov functions for discrete- time multivariable Popov criterion with indefinite multipliers, IEEE Conference on Decision and Control, Atlanta, USA, 2010.
  42. G. Li, G. Herrmann, D. P. Stoten, J. Tu, M. C. Turner. Application of anti-windup technique to dynamically substructured system, invited session, American Control Conference, Baltimore, USA, pages 6757-6762, 2010.
  43. J. Tu, D. P. Stoten, G. Li, R. A. Hyde. A State-Space Approach for the Control of Dynamically Substructured Systems, IEEE Multi-conference on Systems and Control, Saint Petersburg, Russia, 2009.
  44. R. M. Morales, W. P. Heath and G. Li. Robust anti-windup against LTI uncertainty using frequency dependent IQCs, ICCAS-SICE International Joint Conference, Fukuoka, Japan, 2009.
  45. D. P. Stoten, J. Tu, G. Li and K. Koganezawa. Robotic Subsystem Testing Using an Adaptively Controlled Dynamically Substructured Framework, the 9th IFAC Symposium on Robot Control, Gifu, Japan, 2009.
  46. G. Li, G. Herrmann, D. P. Stoten, J. Tu, M. C. Turner. A disturbance rejection anti-windup framework and its application to a substructured system. pages 3510-3515, IEEE Conference on Decision and Control, Cancun, Mexico, 2008.
  47. G. Li, J. Tu and D. P. Stoten. Model Predictive Control of Substructured Systems, UKACC, Manchester, UK, 2008.
  48. D. P. Stoten, J. Tu and G. Li. Adaptive Control of Generalised Dynamically Substructured Systems, 17th IFAC congress, Seoul, South Korea, 2008.
  49. R. M. Morales, G. Li and W. P. Heath. Anti-windup and the preserva- tion of robustness against structured norm-bounded uncertainty, 17th IFAC congress, Seoul, South Korea, 2008
  50. W. P. Heath and G. Li. Improved multipliers for input-constrained model predictive control, 17th IFAC congress, Seoul, South Korea, 2008.
  51. G. Li, W. P. Heath and B. Lennox. An improved stability criterion for a class of Lur'e systems, IEEE Conference on Decision and Control, pages 4483-4488, New Orleans, USA, 2007.
  52. G. Li, W. P. Heath and B. Lennox. The stability analysis of systems with nonlinear feedback expressed by a quadratic program, IEEE Conference on Decision and Control, San Diego, USA, pages 4247-4252, 2006.
  53. W. P. Heath, G. Li, A. G. Wills and B. Lennox. The Robustness of Input Constrained Model Predictive Control to Infinity-Norm Bound Model Uncertainty, the 5th IFAC Symposium on Robust Control Design, Toulouse, France, July 5-7, 2006
  54. G. Li, W. P. Heath and B. Lennox, Concise stability conditions for systems with static nonlinear feedback expressed by a quadratic program. Control Systems Centre, the University of Manchester, Technical Report, 2006.
  55. G. Li, B. Lennox and Z. Ding. Infinite Horizon Model Predictive Control for Tracking Problems, IEEE International Conference on Control and Automation, Budapest, Hungary, June 27-29, 2005.
  56. W.P. Heath, G. Li, A.G. Wills and B. Lennox, IQC analysis of linear constrained MPC. Control Systems Centre, the University of Manchester, Technical Report, 2005.