How to optimize the TS-fuzzy knowledge base to achieve desired performances: Accuracy and robustness

Optimal Control Applications and Methods

Volumn 29, Issue 1, 2008, Pages 19-40

  Soukkou, A ^a   Leulmi, S ^b   Khellaf, A ^c  

^a UNIVERSITY OF JIJEL   (Algeria)

^b UNIVERSITY OF SKIKDA   (Algeria)

^c FERHAT ABBAS UNIVERSITY   (Algeria)

Author keywords

Genetic optimization; Hybrid learning; Nonlinear PI PD controller; Reduced rule base; Robust and optimal controller

Indexed keywords

BACKPROPAGATION; FUZZY CONTROL; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; ROBUSTNESS (CONTROL SYSTEMS);

FUZZY NEURAL CONTROLLERS; GENETIC OPTIMIZATION; GRADIENT DESCENTS; TAKAGI SUGENO FUZZY LOGIC CONTROLLERS; WATER BATH TEMPERATURE;

OPTIMAL CONTROL SYSTEMS;

EID: 40449111855     PISSN: 01432087     EISSN: 10991514     Source Type: Journal    
DOI: 10.1002/oca.811     Document Type: Article

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