Fuzzy controller: design, evaluation, parallel and hierarchical combination with a PID controller
Fuzzy Sets and Systems - Special issue on fuzzy control
An introduction to fuzzy control (2nd ed.)
An introduction to fuzzy control (2nd ed.)
A course in fuzzy systems and control
A course in fuzzy systems and control
Fuzzy Control
On-line tuning of fuzzy-neural network for adaptive control of nonlinear dynamical systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Design of fuzzy controllers with adaptive rule insertion
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A robust self-tuning scheme for PI- and PD-type fuzzy controllers
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
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The present paper advocates the concept of a supervisory fuzzy controller. The proposed FLC algorithm employs a parallel architecture where an additional PD-type FLC can be employed either in conjunction with a conventional PID controller or a static fuzzy controller to improve system performance. The additional FLC implements a different rule base compared to a standard PD-type FLC, when employed alone. The effectiveness of the proposed scheme has been demonstrated by implementing it in simulation for two linear plant models of marine diesel engines and a nonlinear process plant. Its performance has been compared vis-à-vis a standard PD-type FLC, employed in simulation, for the same processes. The system performance is evaluated under both transient and steady state load disturbance conditions and also under noisy measurement environment.