Título inglés |
A defuzzification based new algorithm for the design of Mamdani-type fuzzy controllers |
Título español |
Un nuevo algoritmo basado en dedifusificación para el diseño de controladores difusos de tipo Mamdani. |
Autor/es |
Saade, Jean Jamil |
Organización |
ECE Dep. American Univ. Beirut, Beirut, Líbano |
Revista |
1134-5632 |
Publicación |
2000, 7 (2-3): 159-173, 24 Ref. |
Tipo de documento |
articulo |
Idioma |
Inglés |
Resumen inglés |
This paper presents a new learning algorithm for the design of Mamdani- type or fully-linguistic fuzzy controllers based on available input-output data. It relies on the use of a previously introduced parametrized defuzzification strategy. The learning scheme is supported by an investigated property of the defuzzification method. In addition, the algorithm is tested by considering a typical non-linear function that has been adopted in a number of published research articles. The test stresses on data-fitting, function shape representation, noise insensitivity and generalization capability. The results are compared with those obtained using neuro-fuzzy and other fuzzy system design approaches. |
Clasificación UNESCO |
120703 |
Palabras clave español |
Controladores difusos ; Conjuntos difusos ; Algoritmos de aprendizaje |
Código Z-Math |
Zbl 0992.68181 |
Acceso al artículo completo |