An introduction to fuzzy control
An introduction to fuzzy control
Stabilization of the fuzzy control systems, with application at the second order systems
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
Stability analysis of nonlinear multivariable Takagi-Sugeno fuzzy control systems
IEEE Transactions on Fuzzy Systems
WSEAS TRANSACTIONS on SYSTEMS
Pseudo-equivalence of fuzzy PID controllers
WSEAS Transactions on Systems and Control
On some properties of fuzzy systems
ISPRA'09 Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation
Locally optimal fuzzy control of a heat exchanger
WSEAS TRANSACTIONS on SYSTEMS
Methods to design fuzzy controllers
ACMOS'09 Proceedings of the 11th WSEAS international conference on Automatic control, modelling and simulation
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The paper presents the way to use Lyapunov techniques to analyse and to assure stability of control systems with fuzzy PI controllers. The stability is assured based on a compensation of the input-output characteristic of the fuzzy blocks used in PI fuzzy controller. The compensation is made on fuzzy control law by the action in parallel of a crisp block for non-linear parts of input saturations. Stability analysis of fuzzy control systems for general processes is framed in the field of non-linear systems. The paper presents the way to prove absolute global internal stability in general cases. The correction principle is theoretically substantiated and methodologically structured with application at the fuzzy control of the second order processes.