EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Neuro-fuzzy adaptive control based on dynamic inversion for robotic manipulators
Fuzzy Sets and Systems - Special issue: Fuzzy set techniques for intelligent robotic systems
Multiple-step-ahead prediction in control systems with Gaussian process models and TS-fuzzy models
Engineering Applications of Artificial Intelligence
Mixed H$_2$/H$_&infty;$ region-based fuzzy controller design for continuous-time fuzzy systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Producing interpretable local models in parametric CMAC by regularization
International Journal of Knowledge-based and Intelligent Engineering Systems
On controllability and observability of fuzzy dynamical matrix Lyapunov systems
Advances in Fuzzy Systems - Regular issue
TS-Neural-Network-Based Maintenance Decision Model for Diesel Engine
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
A Fuzzy Neural-Network-Driven Weighting System for Electric Shovel
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Nonlinear system identification: From multiple-model networks to Gaussian processes
Engineering Applications of Artificial Intelligence
Interpretability constraints for fuzzy information granulation
Information Sciences: an International Journal
An optimal T-S model for the estimation and identification of nonlinear functions
WSEAS Transactions on Systems and Control
LMI static output-feedback design of fuzzy power system stabilizers
Expert Systems with Applications: An International Journal
New optimal approach for the identification of Takagi-Sugeno fuzzy model
CONTROL'08 Proceedings of the 4th WSEAS/IASME international conference on Dynamical systems and control
Identification of neurofuzzy models using GTLS parameter estimation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
Rapid load following of an SOFC power system via stable fuzzy predictive tracking controller
IEEE Transactions on Fuzzy Systems
Target-shaped possibilistic clustering applied to local-model identification
Engineering Applications of Artificial Intelligence
H∞ control for fuzzy singularly perturbed systems
Fuzzy Sets and Systems
Perspectives of fuzzy systems and control
Fuzzy Sets and Systems
LMI based design of constrained fuzzy predictive control
Fuzzy Sets and Systems
Dynamical systems identification using Gaussian process models with incorporated local models
Engineering Applications of Artificial Intelligence
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
Order reduction for a realtime engine model using flat and nonlinear Galerkin methods
ECS'10/ECCTD'10/ECCOM'10/ECCS'10 Proceedings of the European conference of systems, and European conference of circuits technology and devices, and European conference of communications, and European conference on Computer science
An affine fuzzy model with local and global interpretations
Applied Soft Computing
Local model network based dynamic battery cell model identification
IMMURO'12 Proceedings of the 11th WSEAS international conference on Instrumentation, Measurement, Circuits and Systems, and Proceedings of the 12th WSEAS international conference on Robotics, Control and Manufacturing Technology, and Proceedings of the 12th WSEAS international conference on Multimedia Systems & Signal Processing
Brief A dynamic fuzzy model for a drum-boiler-turbine system
Automatica (Journal of IFAC)
Local model network identification for online engine modelling
Information Sciences: an International Journal
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Dynamic Takagi-Sugeno fuzzy models are not always easy to interpret, in particular when they are identified from experimental data. It is shown that there exists a close relationship between dynamic Takagi-Sugeno fuzzy models and dynamic linearization when using affine local model structures, which suggests that a solution to the multiobjective identification problem exists. However, it is also shown that the affine local model structure is a highly sensitive parametrization when applied in transient operating regimes. Due to the multiobjective nature of the identification problem studied here, special considerations must be made during model structure selection, experiment design, and identification in order to meet both objectives. Some guidelines for experiment design are suggested and some robust nonlinear identification algorithms are studied. These include constrained and regularized identification and locally weighted identification. Their usefulness in the present context is illustrated by examples