• Publications
  • Influence
TP model transformation as a way to LMI-based controller design
  • P. Baranyi
  • Computer Science, Mathematics
  • IEEE Transactions on Industrial Electronics
  • 5 April 2004
TLDR
The main novelty of this paper is the development of the TP model transformation of the first step, which does not merely transform to TP model form, but it automatically prepares the transformed model to all the specific conditions required by the LMI design. Expand
A generalized concept for fuzzy rule interpolation
TLDR
This paper proposes an interpolation methodology, whose key idea is based on the interpolation of relations instead of interpolating /spl alpha/-cut distances, and which offers a way to derive a family of interpolation methods capable of eliminating some typical deficiencies of fuzzy rule interpolation techniques. Expand
Definition and synergies of cognitive infocommunications
In this paper, we provide the finalized definition of Cognitive Infocommunications (CogInfoCom). Following the definition, we briefly describe the scope and goals of CogInfoCom, and discuss theExpand
Cognitive infocommunications: CogInfoCom
  • P. Baranyi, Á. Csapó
  • Computer Science
  • 11th International Symposium on Computational…
  • 2 November 2015
TLDR
This paper provides the first definition of cognitive infocommunications, a multidisciplinary field which aims to expand the information space between communicating cognitive systems (artificial or otherwise). Expand
Reduction of fuzzy rule base via singular value decomposition
TLDR
The present work characterizes membership functions by the conditions of sum normalization (SN), nonnegativeness (NN), and normality (NO). Expand
Comprehensive analysis of a new fuzzy rule interpolation method
TLDR
A comprehensive analysis of the new method, which includes detailed comparison with the original KH fuzzy rule interpolation method concerning the explicit functions of the methods, preservation of piecewise linearity, and stability, shows that thenew method preserves the advantageous properties of the KH method and alleviates its most significant disadvantage, the problem of subnormality. Expand
Tensor Product Model Transformation in Polytopic Model-Based Control
Introduction Significant paradigm changes Current computational methods and Applications Role of the TP model transformation in control design Part I: Tensor-product Model Transformation of LinearExpand
Trajectory Tracking by TP Model Transformation: Case Study of a Benchmark Problem
TLDR
It is shown that the recently proposed tensor-product-distributed-compensation-based control design framework is straightforward and numerically tractable, and is capable of guaranteeing various different control performances via linear matrix inequality (LMI) conditions. Expand
The Generalized TP Model Transformation for T–S Fuzzy Model Manipulation and Generalized Stability Verification
  • P. Baranyi
  • Mathematics, Computer Science
  • IEEE Transactions on Fuzzy Systems
  • 1 August 2014
TLDR
It is demonstrated in this paper that the proposed manipulation of the tensor product (TP) model transformation forms a new, effective, and necessary optimization step of T-S fuzzy or polytopic models and linear-matrix-inequality-based control design, and can also decrease conservativeness. Expand
TP tool - A MATLAB toolbox for TP model transformation
The Tensor Product model transformation is a numerical method that is capable of uniformly transforming LPV (linear parameter-varying) dynamic models into polytopic forms, both in a theoretical andExpand
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