The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Shaoyuan Li: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ning Li, Shaoyuan Li, Yugeng Xi
    Modeling PH Neutralization Process Using Fuzzy Satisfactory Clustering. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:308-311 [Conf]
  2. Qing Chen, Shaoyuan Li, Yugeng Xi, Guangbin Huang
    Furnace Temperature Modeling for Continuous Annealing Process Based on Generalized Growing and Pruning RBF Neural Network. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2004, pp:755-760 [Conf]
  3. Xin Wang, Shaoyuan Li, Zhongjie Wang, Jun Tao, Jinxin Liu
    A Multiple RBF NN Modeling Approach to BOF Endpoint Estimation in Steelmaking Process. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2004, pp:848-853 [Conf]
  4. Xin Wang, Shaoyuan Li, Zhongjie Wang, Heng Yue
    Multiple Models Neural Network Decoupling Controller for a Nonlinear System. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2004, pp:175-180 [Conf]
  5. Chaofang Hu, Shaoyuan Li
    Enhanced Interactive Satisfying Optimization Approach to Multiple Objective Optimization with Preemptive Priorities. [Citation Graph (0, 0)][DBLP]
    International Journal of Information Technology and Decision Making, 2006, v:5, n:1, pp:47-64 [Journal]
  6. Shaoyuan Li, Qing Chen, Guang-Bin Huang
    Dynamic temperature modeling of continuous annealing furnace using GGAP-RBF neural network. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:4-6, pp:523-536 [Journal]
  7. Ming He, Wen-Jian Cai, Shaoyuan Li
    Multiple fuzzy model-based temperature predictive control for HVAC systems. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2005, v:169, n:1-2, pp:155-174 [Journal]
  8. Ning Li, Shaoyuan Li, Yugeng Xi
    Multi-model predictive control based on the Takagi-Sugeno fuzzy models: a case study. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2004, v:165, n:3-4, pp:247-263 [Journal]
  9. Shaoyuan Li, Yan Zhang, Quanmin Zhu
    Nash-optimization enhanced distributed model predictive control applied to the Shell benchmark problem. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2005, v:170, n:2-4, pp:329-349 [Journal]
  10. Min Xu, Ning Li, Shaoyuan Li
    A wide-range operating fuzzy control algorithm via receding horizon optimization. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2006, v:17, n:5, pp:493-501 [Journal]
  11. Shaoyuan Li, Yipeng Yang, Changjun Teng
    Fuzzy goal programming with multiple priorities via generalized varying-domain optimization method. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2004, v:12, n:5, pp:596-605 [Journal]
  12. Hua Mei, Shaoyuan Li, Wen-Jian Cai, Qiang Xiong
    Decentralized closed-loop parameter identification for multivariable processes from step responses. [Citation Graph (0, 0)][DBLP]
    Mathematics and Computers in Simulation, 2005, v:68, n:2, pp:171-192 [Journal]
  13. Longtao Liao, Shaoyuan Li
    On-Line T-S Fuzzy Model Identification with Growing and Pruning Rules. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2007, pp:505-511 [Conf]

  14. A Nonlinear Hierarchical Multiple Models Neural Network Decoupling Controller. [Citation Graph (, )][DBLP]


  15. fully adaptive feedforward decentralized control for 6-degree-of-freedom parallel robot. [Citation Graph (, )][DBLP]


  16. Optimization design for a class of multi-input nonlinear cascade systems: backstepping approach. [Citation Graph (, )][DBLP]


  17. New criterion for control loop configuration of multivariable processes. [Citation Graph (, )][DBLP]


  18. New stability criterion for discrete-time systems with interval time-varying state delay. [Citation Graph (, )][DBLP]


  19. Type-II T-S fuzzy model-based predictive control. [Citation Graph (, )][DBLP]


  20. Robust constrained model predictive control of piecewise linear systems with bounded additive disturbances. [Citation Graph (, )][DBLP]


  21. Multiple models adaptive feedforward decoupling controller using HDBD focus. [Citation Graph (, )][DBLP]


  22. Enhancing optimal feeder assignment of the multi-head surface mounting machine using genetic algorithms. [Citation Graph (, )][DBLP]


Search in 0.054secs, Finished in 0.055secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002