TP model transformation as a way to LMI-based controller design

By Péter Zoltán Baranyi. IEEE transactions on industrial electronics (1982. Print), 2004

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Influence of the Tensor Product Model Representation of qLPV Models on the Feasibility of Linear Matrix Inequality Based Stability Analysis (2018, methodology): “Tensor product (TP) model transformation was introduced to control theory in 2004 [1] as a methodology for system control design, based on theoretical results of the higher-order singular value decomposition (HOSVD) in tensor algebra [2].”
APPROXIMATION PROPERTIES OF TP MODEL FORMS AND ITS CONSEQUENCES TO TPDC DESIGN FRAMEWORK (2007, methodology): “As a consequence of the internal operation of the TP model transformation (see details in [6,7,19,25,26]) the number of basis functions is limited by the number of measurement points in each variable.”
Polytopic Decomposition of Linear Parameter-Varying Models by Tensor-Product Model Transformation (2006, methodology): “The TP model transformation was first introduced in [5, 12].”
A Descriptor System Approach to Fuzzy Control System Design via Fuzzy Lyapunov Functions (2007, methodology): “REFERENCES [1] T. Takagi and M. Sugeno, “Fuzzy identification of systems and its applications to modeling and control,” IEEE Trans.”
A survey on industrial applications of fuzzy control (2011, neutral): “An attractive control design method accompanied by application is given [189,190] to stabilize parameter varying nonlinear state-space models.”