Special Issue on "TP Model Transformation based Control Design Theories and Applications"


The topic of the special issue belongs to multi-objective control design based on quasi Linear Parameter Varying (qLPV) models and Linear Matrix Inequality (LMI) based optimization. The special issue focuses on advanced theories and design solutions based on Tensor Product (TP) model transformation. 


Recent research shows that by varying the antecedents and consequents in Takagi-Sugeno fuzzy models as well as in other polytopic models, one can strongly influence how the further control design steps will proceed and also how good the resulting control performance will be. The TP model transformation is capable of deriving alternative antecedents and consequents, and of varying and combining the inputs of multiple TS fuzzy and polytopic models. The aim of this special issue is to investigate how better controllers can be obtained by using the best variant of TS fuzzy or polytopic models, and how such variants can be found by TP model transformation. Papers about further developments on the TP model transformation are also highly welcome.

Guest Editors

Prof. Péter Baranyi

  • Budapest University of Technology and Economics, Hungary 
  • E-mail

Prof. Yeung Yam

  • Chinese University of Hong Kong, Hong Kong SAR, China
  • E-mail

Dr. Amit Surana

  • United Technologies Research Center (UTRC), USA
  • E-mail

Important Dates

Deadline for Submissions  April 30, 2020
Completion of First Review July 31, 2020
Completion of Final Review September 30, 2020
Receipt of Final Manuscript December 31, 2020
Publication March, 2021 (Tentatively Vol. 23, No. 2)