Shifting nonlinear phenomena in a DC-DC converter using a fuzzy logic controller
Mathematics and Computers in Simulation
Design of robust fuzzy neural network controller with reduced rule base
International Journal of Hybrid Intelligent Systems
Optimal fuzzy reasoning methods based on robust goals/constraints
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Computational intelligence approach to PID controller design using the universal model
Information Sciences: an International Journal
A feedback based CRI approach to fuzzy reasoning
Applied Soft Computing
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
A multivariable predictive fuzzy PID control system
Applied Soft Computing
Performance analysis of fractional order fuzzy PID controllers applied to a robotic manipulator
Expert Systems with Applications: An International Journal
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Many fuzzy control schemes used in industrial practice today are based on some simplified fuzzy reasoning methods, which are simple but at the expense of losing robustness, missing fuzzy characteristics, and having inconsistent inference. The concept of optimal fuzzy reasoning is introduced in this paper to overcome these shortcomings. The main advantage is that an integration of the optimal fuzzy reasoning with a PID control structure will generate a new type of fuzzy-PID control schemes with inherent optimal-tuning features for both local optimal performance and global tracking robustness. This new fuzzy-PID controller is then analyzed quantitatively and compared with other existing fuzzy-PID control methods. Both analytical and numerical studies clearly show the improved robustness of the new fuzzy-PID controller.