Nonlinear systems analysis (2nd ed.)
Nonlinear systems analysis (2nd ed.)
An introduction to fuzzy control
An introduction to fuzzy control
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Towards a paradigm for fuzzy logic control
Automatica (Journal of IFAC)
Sequential identification of Coulomb and viscous friction in robot drives
Automatica (Journal of IFAC)
Stabilization of a large class of nonlinear systems using conic sector bounds
Automatica (Journal of IFAC)
On the stabilizing conic sectors obtained using small-gain techniques
Automatica (Journal of IFAC)
Robustness of systems with various PI-like fuzzy controllers for industrial plants with time delay
FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
Design method for robust PI-like process fuzzy logic controller
FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
Robustness of systems with various PI-like fuzzy controllers for industrial plants with time delay
WSEAS Transactions on Circuits and Systems
Robust stability of single input fuzzy system for control of industrial plants with time delay
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Theoretical advances of intelligent paradigms
Design of robust fuzzy logic controllers for complex non-linear processes with time delay
AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
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This paper deals with the robust stability problem for a feedback system with a fuzzy controller. The problem is treated using the small-gain and conicity criteria for nonlinear stability. Robustness is addressed in terms of multiplicative perturbations and stability margins. Compensator design is based on an initial set of rules (the previous design), reflecting an approximate formulation of the desired performance. The previous design is refined and modified to achieve a prescribed robustness margin. We impose in the design procedure that the required changes have to be as small as possible. In this way, the final solution is the better compromise between performance and robust stability. The redesign is based on inequalities on the fuzzy parameters (output centroids) that are derived from small-gain stability conditions. An application example is presented, for a simulated exponential frictional model of a DC servo motor.