Reducing the number of models leads directly to the computational complexity reduction. This work also includes a number of numerical and application examples.
The use of higher order singular value decomposition is proposed in this paper for the complexity reduction of multiple-input-single-output TS fuzzy model ...
Abstract—The main objective of this paper is to expound the singular-value-decomposition (SVD)-based reduction technique.
Reducing the number of models leads directly to the computational complexity reduction. This work also includes a number of numerical and application examples.
The main objective of this paper is to expound the singular-value-decomposition (SVD)-based reduction technique proposed to single-input-single-output ...
SVD-based complexity reduction to TS fuzzy models ; Robust Model-Based Fault Diagnosis for Dynamic Systems. Chen J., Patton R.J. ; LINPACK Users' Guide. Dongarra ...
A higher order singular value decomposition (HOSVD) based complexity reduction technique is proposed to Takagi Sugeno (TS) fuzzy models, which is capable of ...
Dec 11, 2012 · SVD Based Complexity Reduction to TS Fuzzy Models ; Article · Q Science > QA Mathematics and Computer Science > QA75 Electronic computers.
HOSVD based computational complexity reduction of TS fuzzy models
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For tackling the problem of model handling, in this paper an efficient technique of model storage and retrieval based on the adaptation of HOSVD (High Order ...
The SVD based reduction finds the optimum, i.e., minimum number of parameters which is needed to describe the system. Improving the Approximation of the Model.