The 2016 Andrew P Sage Best Transaction Paper Award

  • Li, J. (Recipient), Jing, Xingjian (Recipient), Lam, H. (Recipient) & P, S. (Recipient)

Prize: Prize (research)

Description

The award of this year is granted to the paper published in IEEE Transactions on Cybernetics (IF 4.943, Rank 1/22 in Cybernetics, 6/130 in Artificial Intelligence): H Li, XJ Jing, HK Lam, P Shi, Fuzzy sampled-data control for uncertain vehicle suspension systems, IEEE Transactions on Cybernetics 44(7), 1111-1126, 2014. It is a joint research work collaborated within Bohai University (Mainland of China), PolyU (HK), King's College London (UK), and University of Adelaide (Australia), receiving 138 citations by far (in google scholar). The paper investigates the problem of sampled-data H∞ control of uncertain active suspension systems via fuzzy control approach. The work focuses on designing state-feedback and output-feedback sampled-data controllers to guarantee the resulting closed-loop dynamical systems to be asymptotically stable and satisfy H∞ disturbance attenuation level and suspension performance constraints. Using Takagi-Sugeno (T-S) fuzzy model control method, T-S fuzzy models are established for uncertain vehicle active suspension systems considering the desired suspension performances. Based on Lyapunov stability theory, the existence conditions of state-feedback and output-feedback sampled-data controllers are obtained by solving an optimization problem. The award is to recognize the authors of the best paper published annually in the IEEE Transactions on Systems, Man and Cybernetics (SMC) (established in 1998), which was funded by the IEEE Systems, Man, and Cybernetics Society through an endowment administered by the IEEE Foundation. The basis for Judging the award is according to the Originality, technical merit, potential impact to the SMCS Field of Interest, and presentation quality.
Granting Organisations