An energy-gain bounding approach to robust fuzzy identification
- 31 May 2006
- journal article
- Published by Elsevier BV in Automatica
- Vol. 42 (5), 711-721
- https://doi.org/10.1016/j.automatica.2006.01.013
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Robust Neurofuzzy Rule Base Knowledge Extraction and Estimation Using Subspace Decomposition Combined With Regularization and D-OptimalityIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2004
- Regularized Adaptation of Fuzzy Inference Systems. Modelling the Opinion of a Medical Expert about Physical Fitness: An ApplicationFuzzy Optimization and Decision Making, 2003
- Robust Adaptive Fuzzy Identification of Time-Varying Processes with Uncertain Data. Handling Uncertainties in the Physical Fitness Fuzzy Approximation with Real World Medical Data: An ApplicationFuzzy Optimization and Decision Making, 2003
- Robust identification of Takagi-Sugeno-Kang fuzzy models using regularizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Regularized data-driven construction of fuzzy controllersJIIP, 2002
- Constructing fuzzy models with linguistic integrity from numerical data-AFRELI algorithmIEEE Transactions on Fuzzy Systems, 2000
- H/sup ∞/ optimality of the LMS algorithmIEEE Transactions on Signal Processing, 1996
- Linear estimation in Krein spaces. II. ApplicationsIEEE Transactions on Automatic Control, 1996
- Linear estimation in Krein spaces. I. TheoryIEEE Transactions on Automatic Control, 1996
- A robust backpropagation learning algorithm for function approximationIEEE Transactions on Neural Networks, 1994