Order reduction of complex systems described by TSK fuzzy models based on singular perturbations method
DOI10.1080/00207721.2011.602480zbMath1307.93090OpenAlexW2080031078MaRDI QIDQ5172451
Anouar Bouazza, Anis Sakly, Mohamed Benrejeb
Publication date: 4 February 2015
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2011.602480
method of singular perturbationsBenrejeb arrow form matrixTSK fuzzy modelsdiscretisation of continuous systemsorder reduction techniquetwo-time scale system
Fuzzy control/observation systems (93C42) Time-scale analysis and singular perturbations in control/observation systems (93C70) System structure simplification (93B11)
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Cites Work
- Adaptive rational interpolation: Arnoldi and Lanczos-like equations
- A Prony-like method for non-uniform sampling
- Towards the implementation of the singular function method for singular perturbation problems
- Choice of conjunctive operator of TSK fuzzy systems and stability domain study
- Order reduction of linear discrete systems using a genetic algorithm
- Remarks on the efficiency of POD for model reduction in non-linear dynamics of continuous elastic systems
- On Order Reduction and Stabilization of TSK Nonlinear Fuzzy Models by using Arrow form Matrix
- Model order reduction using neural network principal component analysis and generalized dimensional analysis
- Order reduction of complex systems described by TSK fuzzy models based on singular perturbations method
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