Control Systems Group: Publications

Journal

  1. 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

  2. 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, accepted, 2020.

  3. J. Feng, X. He and S. Zhang, Vibration suppression an dangle tracking of a a fire-rescure ladder, Nonlinear Dynamics, accecpted, 2020.
  4. 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
  5. 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
  6. 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, Mar. 2020, accepted.

  7. Xing Shu, Guang Li, Jiangwei Shen, Wensheng Yan, Zheng Chen and Yonggang Liu, An Adaptive Fusion Estimation Algorithm for State of Charge of Lithium-ion Batteries Considering Wide Operating Temperature and Degradation, Journal of Power Sources, Mar. 2020, accepted.

  8. 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, Apr. 2020, accepted.

  9. H. Kong, C. Yang and G. Li, et al. A sEMG-Based Shared Control System with No-Target Obstacle Avoidance for Omnidirectional Mobile Robots, in press, IEEE access,2020.
  10. 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, online published,  IEEE access, Vol. 8, pages 15123 - 15131, 2020.
  11. 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, published online, 2019.
  12. 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, accepted, 2019.
  13. 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, in press, 2019. DOI: 10.1109/TSTE.2019.2952200
  14. 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.
  15. 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.
  16. Z. Liao, P. Stansby, G. Li*, Linear non-causal optimal control of an attenuator type wave energy converter M4,  IEEE Transactions on Sustainable Energy, in press, 2019.  DOI: 10.1109/TSTE.2019.2922782
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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.
  22. Y. Huang, J. Na, X. Wu and G. Li, Adaptive Finite-time fuzzy control of nonlinear active suspension systems with input delay, IEEE Transactions on Cybernetics, published online, 2019.
  23. S. Zhan, J. Na , G. Li and B. Wang, Adaptive Model Predictive Control of Wave Energy Converters, vol.11(1), pp. 229-238, IEEE Transactions on Sustainable Energy, 2020.  DOI: 10.1109/TSTE.2018.2889767
  24. 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, published online.
  25. 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.
  26. 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
  27. 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
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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
  33. 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.
  34. 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
  35. 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
  36. 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.
  37. 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.
  38. 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. PDF
  39. N. S. Ahmad, W. P. Heath and G. Li, LMI-based stability criteria for discrete-time Lure systems with sector- and slope-restricted nonlinearities, IEEE Transactions on Automatic Control, vol 58, no. 2 pp. 459-465, 2013.
  40. 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
  41. 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, 2011, pp. 123-137.
  42. 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.
  43. 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.
  44. W. P. Heath, G. Li. Multipliers for model predictive control with structured input constraints, Automatica, Vol 46, Issue 3, pp.562 - 568, 2010.
  45. W. P. Heath, G. Li. Lyapunov functions for the multivariable Popov criterion with inde nite multipliers, Automatica, 45 (12), pages 2977-2981, 2009.
  46. 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.
  47. 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.
  48. 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.

Conference

  1. Y. Zhang, S. Zhan and G. Li, Model Predictive Control of Wave Energy Converters with Prediction Error Tolerance, IFAC World Congress, 2020.
  2. Y. Zhang and G. Li*, Wave Excitation Force Estimation for Wave Energy Converters Using Adaptive Sliding Mode Observer, American Control Conference, Philadelphia, 2019.
  3. Z. Liao and G. Li*, Energy-maximizing control of pitch type wave energy converter M4, American Control Conference, Philadelphia, 2019.
  4. 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.
  5. 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.
  6. 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.
  7. S. Zhan and G. Li*, Indefinite feedback MPC with preview information of bounded disturbance, to be presented at the 57th IEEE Conference on Decision and Control (CDC), Fontainebleau, Miami Beach, FL, USA on Dec. 17-19, 2018.
  8. S. Zhan, B. Wang, J. Na, G. Li*, Adaptive Optimal Control of Wave Energy Converters, to be presented at the 11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles, Opatija, Croatia, Sep. 10-12, 2018.
  9. Z. Liao, G. Nian,P. Stansby and G. Li*, Control-Oriented Modelling for Wave Energy Converter M4, to be presented at the 4th Asian Wave and Tidal Energy Conference (AWTEC 2018), Taipei, Taiwan, Sep. 9-13, 2018.
  10. J. Na, G. Li*, S. Zhan, Online Optimal Control of Wave Energy Converters Via Adaptive Dynamic Programming, American Control Conference, Milwaukee, June, 2018.
  11. 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.
  12. Y Zhao, W He, C Sun, G Li, C Yang, Adaptive Control of a Marine Vessel Based on Reinforcement Learning, 37th Chinese Control Conference (CCC), 2018.
  13. T Zeng, X Ren, G Li, Y Zhang, Sliding Mode Extremum Seeking Control of Motor Driving Nonlinear System, 37th Chinese Control Conference (CCC), 2018.
  14. Y Song, X He, G Li, W He, C Sun, Vibration control for a floating ocean thermal energy conversion system 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2018.
  15. D Hou, J Na, G Gao, G Li, Data-Driven Adaptive Optimal Tracking Control for Completely Unknown Systems, IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS), 2018.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. S. Zhan, H. Huijberts, J. Na and G. Li, Optimal controller design and constraints analysis of a sea wave energy converter, UKACC, Belfast, 2016.
  22. 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.
  23. 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.
  24. 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.
  25. J. Liu, G. Li and H. K. Fathy, Efficient Total Least Squares State Estimation For Differentially Flat Systems, American Control Conference, July, 2016.
  26. G. Li, Predictive control of a wave energy converter with wave prediction using differential flatness, IEEE Conference on Decision and Control, Japan, Dec, 2015.
  27. 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.
  28. H. K. Fathy and G. Li, First Observations from a Partially Inverted System Dynamics Course, American Control Conference, 2015.
  29. 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.
  30. G. Li. A Generic Dynamically Substructured System Framework and Its Dual Counterparts, the 19th IFAC World Congress, Cape Town, South Africa, August, 2014.
  31. 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.
  32. G. Li and M. R. Belmont. Model predictive control of wave energy converters, the 10th European Wave and Tidal Energy Conference, Alborg, Denmark, 2013.
  33. J. Na, G. Li, M. Ryujiy and S. Luigi. System Identi cation and Robust Anti-windup Control for a Helium Liqui er, UKACC, Cardiff, 2012.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. G. Li, W. P. Heath and G. Herrmann. Robust anti-windup compensator synthesis using integral quadratic constraints, IFAC World Congress, Milan, Italy, 2011.
  39. N. Syazreen Ahmad, W.P. Heath and G. Li. Lyapunov Functions for Generalized Discrete-time Multivariable Popov Criterion, IFAC World Congress, Milan, Italy, 2011.
  40. N. Syazreen Ahmad, W.P. Heath and G. Li. Lyapunov functions for discrete- time multivariable Popov criterion with inde nite multipliers, IEEE Conference on Decision and Control, Atlanta, USA, 2010.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. G. Li, G. Herrmann, D. P. Stoten, J. Tu, M. C. Turner. A disturbance rejection anti-windup framework and its application to a substructured sys- tem. pages 3510-3515, IEEE Conference on Decision and Control, Cancun, Mexico, 2008.
  46. G. Li, J. Tu and D. P. Stoten. Model Predictive Control of Substructured Systems, UKACC, Manchester, UK, 2008.
  47. D. P. Stoten, J. Tu and G. Li. Adaptive Control of Generalised Dynamically Substructured Systems, 17th IFAC congress, Seoul, South Korea, 2008.
  48. 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
  49. W. P. Heath and G. Li. Improved multipliers for input-constrained model predictive control, 17th IFAC congress, Seoul, South Korea, 2008.
  50. 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.
  51. 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.
  52. W. P. Heath, G. Li, A. G. Wills and B. Lennox. The Robustness of Input Constrained Model Predictive Control to In nity-Norm Bound Model Uncertainty, the 5th IFAC Symposium on Robust Control Design, Toulouse, France, July 5-7, 2006.
  53. 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.
  54. G. Li, B. Lennox and Z. Ding. In nite Horizon Model Predictive Control for Tracking Problems, IEEE International Conference on Control and Automation, Budapest, Hungary, June 27-29, 2005.
  55. 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.