Fuzzy Modeling of Non-Uniformly Sampling Nonlinear Systems Based on Clustering Method and Convergence Analysis
- 9 September 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in Journal of Systems Science and Complexity
- Vol. 34 (2), 502-519
- https://doi.org/10.1007/s11424-020-9119-7
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Parameter estimation with scarce measurementsAutomatica, 2011
- Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systemsAutomatica, 2009
- Kalman filters in non-uniformly sampled multirate systems: For FDI and beyondAutomatica, 2008
- Identification of Continuous-Time ARX Models From Irregularly Sampled DataIEEE Transactions on Automatic Control, 2007
- A robust design criterion for interpretable fuzzy models with uncertain dataIEEE Transactions on Fuzzy Systems, 2006
- Hierarchical identification of lifted state-space models for general dual-rate systemsIEEE Transactions on Circuits and Systems I: Regular Papers, 2005
- Hierarchical least squares identification methods for multivariable systemsIEEE Transactions on Automatic Control, 2005
- Identification of continuous-time AR processes from unevenly sampled dataAutomatica, 2002
- Recursive identification under scarce measurements — convergence analysisAutomatica, 2002
- Self-tuning regulator based on dual-rate samplingIEEE Transactions on Automatic Control, 1984