Manufacturing Engineering and Engineering Management
City University of Hong Kong
Prof. LI, Han Xiong
 |
ProfessorPhD-contrl (Auckland), ME-contrl (TUDelft), BE-contrl (NUDT), MIEEE(USA), SrMIEEE(USA) Email: mehxli@cityu.edu.hk Research Interests: Intelligent control & learning, Process Design and Control, Electronic Packaging Process, and Distributed Parameter System |
Click the link below to view Prof. LI's personal homepage
More about Prof. LI, Han Xiong
Education
| Ph.D | University of Auckland, New Zealand, 1997 |
| M.E. | Delft University of Technology, The Netherlands, 1991 |
| B.E. | National University of Defence Technology, Hunan, China, 1982 |
Working Experience
- Professor (2008), Associate Professor (2002), Assistant Professor (2000), RAP(1997), Department of MEEM, City University of Hong Kong
- Senior Process Engineer, ASM Assembly Automation Ltd, Hong Kong, 1997
- Research Engineer, University of Auckland, New Zealand (1993-1997)
- Research Associate, Delft University of Technology, The Netherlands (1991-1992)
- Project Manager, China International Trust & Investment Co (CITIC), Beijing, China, (19987-1988)
- Software Engineer, Peking Analysis Center (military service), China, (1982-1987)
Awards & Honor
- Awarded China National Science Fund for Distinguished Young Scholars (B) in 2004
2004 國家傑出青年科學基金(海外類)-"香港、澳門青年學者合作研究基金"獲得者 - Awarded Cheung Kong Scholar "長江學者" by Ministry of Education, China (2006)
Professional Member and Service
- Associate Editor, IEEE Transactions on Systems, Man & Cybernetics - part B, (2002 - )
- Editorial board, Control Engineering (2004 - )
- Editorial board, Frontiers of Mechanical Engineering in China (2008 - )
- IEEE senior member
- Member of Chinese Intelligent Automation Committee
- Member of Chinese Intelligent Manufacturing Committee
Course to teach:
- Quality & Reliability Engineering (MEEM3042; MEEM6043)
Research Experience and Accomplishment
International journal papers: >80 (more than 50% ranks top 30% in the discipline)
Three-Domain Fuzzy Logic Control System (3D-FLC)
- A spatial domain is added into the traditional FLC to formulate a 3D fuzzy platform for the spatial-temporal process. With the newly designed 3D fuzzy membership functions and 3D inference engine, this spatial-temporal FLC has the inherent capability to handle the spatial distribution with the help of only a few more sensors.
- A probabilistic domain is added into the traditional FLC to formulate a 3D fuzzy platform for the stochastic process. After embedding the probabilistic processing into the Mamdani fuzzy inference, this probabilistic fuzzy logic system can model both uncertainty and stochastic variations.
- Development of various modeling method, including spectral/neural modeling method for estimating the temperature field using fewer sensors, and a novel 3D Volterra kernel based approach for the nonlinear DPS.
- Development of fuzzy and neural system to control DPS under different unknown working conditions.
- Development of a high-precision epoxy dispensing system that is able to compensate the fluid variation in the operation. The work involves the proper integration of the Non-Newtonian fluid modeling and approximation, sensing, run-by-run control.
- Snap cure oven design and control aims to have a required temperature field under the strong uncertainties. A simple but effective model needs to predict the temperature field in the spatial domain with fewer sensors, upon which the robust design and optimal control can be developed.
- Designed a two-input fuzzy-PID controller for process control and developed various gain tuning methods the controller.
- Improved the graphical technique for the quantitative model derivation, disclosed and proved the sliding-mode feature of the fuzzy-PID.
Selected Journal Papers since 2001
3D-FLC for Control & Learning- Li HX & Z. Liu (2008) "A Probabilistic Neural-Fuzzy Learning System for Stochastic Modelling", IEEE Trans. on Fuzzy Systems, (accepted)
- Zhang XX, Li HX & Li SY (2008), "Analytical Study and Stability Design of Three-Dimensional Fuzzy Logic Controller for Spatially Distributed Dynamic Systems", IEEE Trans. on Fuzzy Systems (accepted)
- Li H.X., Zhang XX & Li SY (2007), "A Three-dimensional Fuzzy Control Methodology for a Class of Distributed Parameter System", IEEE Trans. on Fuzzy Systems, 15(3), 470-481
- Liu, Z & Li H.X., (2005) "A probabilistic fuzzy logic system for modeling and control", IEEE Trans. on Fuzzy systems, 13(6), 848-859
- Qi CK, Zhang HT & Li HX, (2008), "A Multi-channel Spatio-Temporal Hammerstein Modeling Approach for Nonlinear Distributed Parameter Processes", Journal of Process Control, (accepted)
- H Wu & Li HX (2008), "A Galerkin/Neural-Network Based Design of Guaranteed Cost Control for Nonlinear Distributed Parameter Systems", IEEE Trans. on Neural Network, (accepted)
- K Yuan, Li HX & J Cao (2008), "Robust stabilization of the distributed parameter system with time delay via fuzzy control", IEEE Trans. on Fuzzy Systems, (accepted)
- H Wu & Li HX (2008), "H Fuzzy Observer-based Control for a Class of Nonlinear Distributed Parameter Systems with Control Constraints", IEEE Trans. on Fuzzy Systems, 16(2), 502-516
- H Wu & Li HX (2007), "Finite-Dimensional Constrained Fuzzy Control for a Class of Nonlinear Distributed Process Systems", IEEE Trans. on Syst, Man & Cyber, part-B, 37(5), 1422-1430
- Deng H, Li HX & Wu YH (2008) "Feedback Linearization Based Neural Adaptive Control for Unknown Non-affine Nonlinear Discrete-Time Systems", IEEE Trans on Neural Network, (accepted)
- DY Dong, CL Chen, Li HX & JZ Tang (2008) "Incoherent Control of Quantum Systems with Wavefunction Controllable Subspaces via Quantum Reinforcement Learning", IEEE Trans. on Syst, Man & Cyber part-B, (accepted)
- Liu, Z & Li H.X. & Y Zhang, (2008) "Stochastic and incomplete data-based modeling with probabilistic wavelet system", IEEE Trans. on Systems, Man & Cybernetics-B, 28(2), 310-319
- H Wu & Li HX (2007), "New Approach to Delay-Dependent Stability Analysis and Stabilization for Continuous-Time Fuzzy Systems With Time-Varying Delay", IEEE Trans. on Fuzzy Systems, 15(3),482-493
- Sun FC, Li HX & Liu HP, (2007) "Neuro-fuzzy dynamic-inversion-based adaptive control for robotic manipulators - Discrete time case", IEEE Trans. on Industrial Electronics, 54(3): 1342-1351, June
- Li H.X. & H. Deng, (2006) "An Approximate Internal Model Based Neural Control for Unknown Nonlinear Discrete Processes", IEEE Trans. on Neural Networks, 17(3), 659-670
- H. Deng & Li H.X., (2006) "On the new method for the control of discrete nonlinear dynamic systems using neural networks", IEEE Transactions on Neural Network, 17(2): 526-529 MAR 2006
- Cao JD, Yuan K & Li H.X. (2006) "Global asymptotical stability of recurrent neural networks with multiple discrete delays and distributed delays", IEEE Trans. on Neural Network, 17(6), 1646-1651
- K Yuan, Cao JD & Li H.X. (2006) "Robust stability of switched Cohen-Grossberg neural networks with mixed time-varying delays", IEEE Trans. on Systems, Man & Cybernetics-B, 36B(6), 1356-1363
- Li H.X., Zhang L, et al. (2005) "An Improved Robust Fuzzy-PID Controller with Optimal Fuzzy Reasoning", IEEE Trans. on Syst, Man & Cyber, part-B, 35(6), 1283-1294
- H. Deng & Li H.X., (2005) "A Novel Neural Approximate Inverse Control for Unknown Nonlinear Discrete Dynamical Systems" , IEEE Trans. on Syst, Man & Cyber, part-B, 35(1), 115-123
- Tong SC, Li H.X., & GR Chen (2004), "Adaptive fuzzy decentralized control for a class of large-scale nonlinear systems", IEEE Trans. on Syst, Man & Cyber, part-B, 34(1), 770-775
- Li. X, Li H.X., et al. (2004), "Fuzzy estimation of feed-cutting force from current measurement - a case study on intelligent tool wear condition monitoring", IEEE Trans. on Syst, Man & Cyber, part-C, 34(4), 506-512
- Li H.X. & Tong SC. (2003), "A Hybrid Adaptive Fuzzy Control for A Class of Nonlinear MIMO Systems", IEEE Transactions on Fuzzy Systems, 11(1), 24-34
- Tong SC & Li H.X., (2003), "Fuzzy Adaptive Sliding Mode Control for MIMO Nonlinear Systems", IEEE Transactions on Fuzzy Systems, 11(3), 354-360
- Sun FC, Li H.X. & L. Li (2002), "Robot discrete adaptive control based on dynamic inversion using dynamical neural networks", Automatica, 38, 1977-1983
- Li H.X. & Guan, S., (2001), "Hybrid intelligent control strategy", IEEE Control Systems Magazine, 21(3), 36-48
- Y-C Hsu, G.R. Chen & Li H.X., (2001), "A fuzzy adaptive variable structure controller - with applications to robot manipulators", IEEE Trans. on Syst, Man & Cyber, 31B(3), 331-340
- Li HX, et al. (2007), "A Simple Model-Based Approach for Fluid Dispensing Analysis and Control", IEEE/ASME Transactions on Mechatronics, 12(4), 491-503
- Han L, Gao RZ, Zhong J & Li HX, (2007) "Wire bonding dynamics monitoring by wavelet analysis", Sensors and Actuators A - physical 137 (1): 41-50 JUN
- H. Deng, Li H.X. & G. Chen, (2005) "Spectral Approximation Based Intelligent Modelling for Distributed Thermal Process", IEEE Trans. on Control System Technology, 13(5), 686-700
- Li H.X., H. Deng & J. Zhong (2004), "Model-based integration of control and supervision for one kind of curing process", IEEE Trans. on Electronics Packaging Manufacturing, 27(3), 2004, 177-186
- Hong Y & Li H.X. (2003) "Comparative Study of Fluid Dispensing Modelling", IEEE Trans. on Electronics Packaging Manufacturing, 26(4), 273-280
- Li H.X., S.K. Tso & H. Deng, (2001) "A conceptual approach to integrate design and control for epoxy dispenser", International Journal of Advanced Manufacturing Technology, vol.17, 677-682
- Zhang HT & Li HX, (2008) "A General Control Horizon Extension Method for Nonlinear Model Predictive Control", Industrial & Engineering Chemistry Research, 46(26), 9179-9189
- Sun RL, Li H.X. & Xiong YL, (2006) "Performance Oriented Integrated Control of Production Scheduling", IEEE Trans. on Syst, Man & Cyber, part-C, 36(4), 554-562
- Wang W, Li H.X. & Zhang JT, (2003) "A Hybrid Approach for Supervisory Control of Furnace Temperature", Control Engineering Practice, 11(11), 1325-1334
- Zhong QC & Li H.X. (2002) "2-degree-of-freedom proportional-integral-derivative-type controller incorporating the Smith principle for processes with dead time", Industrial & Engineering Chemistry Research, 41, 2448-2454
- W. Wang, Li H.X. & J Zhang, (2002) "Intelligence-based Hybrid Control for Power Plant Boiler", IEEE Trans. on Control System Technology, 10(2), 280-287
- Guan, S., Li H.X. & Tso, S.K. (2001) "Multivariable fuzzy supervisory control for laminar cooling process", IEEE Transactions on Control System Technology, 9(2), 348-356
Last modified on 1 September, 2008