Adaptive signal processing
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Fuzzy identification from a grey box modeling point of view
Fuzzy model identification
Robust Solution to Fuzzy Identification Problem with Uncertain Data by Regularization
Fuzzy Optimization and Decision Making
Robust Adaptive Identification of Fuzzy Systems with Uncertain Data
Fuzzy Optimization and Decision Making
Adaptive fuzzy filtering in a deterministic setting
IEEE Transactions on Fuzzy Systems
H∞ optimality of the LMS algorithm
IEEE Transactions on Signal Processing
H∞ fuzzy estimation for a class of nonlineardiscrete-time dynamic systems
IEEE Transactions on Signal Processing
Function approximation using fuzzy neural networks with robust learning algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Deterministic approach to robust adaptive learning of fuzzy models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy Techniques for Subjective Workload-Score Modeling Under Uncertainties
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
Fuzzy identification using fuzzy neural networks with stable learning algorithms
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
A robust design criterion for interpretable fuzzy models with uncertain data
IEEE Transactions on Fuzzy Systems
Fuzzy Evaluation of Heart Rate Signals for Mental Stress Assessment
IEEE Transactions on Fuzzy Systems
Approaches to Robust Filtering Design of Discrete Time Fuzzy Dynamic Systems
IEEE Transactions on Fuzzy Systems
Input-to-state stability for discrete-time nonlinear systems
Automatica (Journal of IFAC)
An energy-gain bounding approach to robust fuzzy identification
Automatica (Journal of IFAC)
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Fuzzy filtering for physiological signal analysis
IEEE Transactions on Fuzzy Systems
Variational bayes for a mixed stochastic/deterministic fuzzy filter
IEEE Transactions on Fuzzy Systems
An affine fuzzy model with local and global interpretations
Applied Soft Computing
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This study derives a class of filtering algorithms for Takagi-Sugeno fuzzy models via solving a nonlinear parameters estimation problem. The considered estimation problem is related to the problem of minimizing the expected value of the exponential of filtering errors energy. Under some stochastic assumptions, the filtering criteria (which involve an expectation operator) are replaced by the deterministic quadratic optimization problems whose solutions provide a class of fuzzy filtering algorithms. Froma viewpoint of errors in the estimation of linear parameters of the fuzzy filter, the derived filtering algorithms were analyzed with emphasis on stability, robustness, and steady-state error issues. The stability and robustness analyses have been made deterministically without making any assumption.