System identification: theory for the user
System identification: theory for the user
Structure identification of fuzzy model
Fuzzy Sets and Systems
Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Stability analysis and stabilization of fuzzy state space models
Fuzzy Sets and Systems - Special issue on fuzzy control
Stability analysis of fuzzy control systems using facet functions
Fuzzy Sets and Systems - Special issue on modern fuzzy control
Systematic design and stability analysis of a fuzzy logic controller
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Robust stability analysis of fuzzy control systems
Fuzzy Sets and Systems
Design of fuzzy control systems with guaranteed stability
Fuzzy Sets and Systems
Numerical stability analysis for a fuzzy or neural network controller
Fuzzy Sets and Systems - Special issue: application of neuro-fuzzy systems
Quadratic stability analysis of the Takagi-Sugeno fuzzy model
Fuzzy Sets and Systems
Optimal design of fuzzy sliding-mode control: a comparative study
Fuzzy Sets and Systems
Design of fuzzy sliding-mode control systems
Fuzzy Sets and Systems
Analysis and design of a stable fuzzy control system
Fuzzy Sets and Systems
A new approach to the identification of a fuzzy model
Fuzzy Sets and Systems
Stable fuzzy adaptive control for a class of nonlinear systems
Fuzzy Sets and Systems
Stability analysis of fuzzy control systems
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Special issue on formal methods for fuzzy modeling and control
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Nonlinear Control Systems
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
On the stability of fuzzy systems
IEEE Transactions on Fuzzy Systems
A methodology to design stable nonlinear fuzzy control systems
Fuzzy Sets and Systems
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Singular perturbation methods based on a Lyapunov approach are implemented for the derivation of sufficient conditions for the semiglobal stabilization with output tracking of nonlinear systems having internal dynamics. The key idea of this approach lies in the decomposition of the full system into a subsystem exhibiting fast dynamics and to a subsystem with slow dynamics, resulting in a substantial simplification of the stability analysis. This two-time scale behavior is achieved by implementing a properly designed fuzzy logic controller, the key element of the proposed model-based composite controller. For the construction of the model-based controller, a new identification technique based on both classical and fuzzy tools is proposed. Results are presented for the semiglobal stabilization of a continuous stirred tank reactor, which is a process with high nonlinear behavior.