Model order selection of nonlinear input–output models––a clustering based approach
- 30 September 2004
- journal article
- Published by Elsevier BV in Journal of Process Control
- Vol. 14 (6), 593-602
- https://doi.org/10.1016/j.jprocont.2004.01.005
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy modelsIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2002
- An alternative solution to the model structure selection problemIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2001
- Determining the model order of nonlinear input/output systemsAIChE Journal, 1998
- Improved structure selection for nonlinear models based on term clusteringInternational Journal of Control, 1995
- Nonlinear model-based control using second-order Volterra modelsAutomatica, 1995
- ARMA model order estimation based on the eigenvalues of the covariance matrixIEEE Transactions on Signal Processing, 1993
- Determining embedding dimension for phase-space reconstruction using a geometrical constructionPhysical Review A, 1992
- Unsupervised optimal fuzzy clusteringIEEE Transactions on Pattern Analysis and Machine Intelligence, 1989
- Orthogonal parameter estimation algorithm for non-linear stochastic systemsInternational Journal of Control, 1988
- A new look at the statistical model identificationIEEE Transactions on Automatic Control, 1974