Control Systems Group: Publications

Journal

  1. M.S.S. Malik, G. Li and Z. Chen, An optimal charging algorithm to minimise solid electrolyte interface layer in lithium-ion battery, accepted by Journal of Power Sources.
  2. 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, accepted by Energy.
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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. 6, pp. 2639-2650, June 2020, doi: 10.1109/TCYB.2019.2894724.
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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.
  50. 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
  51. 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
  52. 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
  53. 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.
  54. 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
  55. 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. 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, 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, 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, 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, the 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, teh 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, the 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 the 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 Liquifier, 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 indefinite 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 system. 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 Infinity-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.