A fuzzy clustering based technique for piecewise affine approximation of a class of nonlinear systems

DOI10.1016/j.cnsns.2009.09.017zbMath1222.93048OpenAlexW2016169578MaRDI QIDQ720110

Subhojit Ghosh, Srinivasu Maka

Publication date: 13 October 2011

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2009.09.017

zbMATH Keywords

bifurcationfuzzy clusteringpiecewise affine systemglucose metabolism

Mathematics Subject Classification ID

System identification (93B30) Linearizations (93B18) Biochemistry, molecular biology (92C40) Multivariate analysis and fuzziness (62H86)

Related Items (2)

Finite-time \(l_2 - l_\infty\) filtering for persistent dwell-time switched piecewise-affine systems against deception attacks ⋮ Models and algorithms for optimal piecewise-linear function approximation

Cites Work

• An introduction to hybrid dynamical systems
• A clustering technique for the identification of piecewise affine systems
• Identification of piecewise affine systems based on statistical clustering technique
• A generalized canonical piecewise-linear representation

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