Journal article
Fuzzy and evolutionary modelling of nonlinear control systems
Abstract
The development of a controller for a nonlinear system is still a challenging task for control engineers. This paper presents a method for the optimization of a Fuzzy Logic System (FLS) [1] for the control of nonlinear systems. A fine-grained parallel genetic algorithm has been proposed to identify the parameters of the FLS. The proposed method has been applied to control a popular set of benchmark problems, i.e., an inverse pendulum with both …
Authors
Muhammad A; Bargiela A; King G
Journal
Mathematical and Computer Modelling, Vol. 33, No. 4-5, pp. 533–551
Publisher
Elsevier
Publication Date
2 2001
DOI
10.1016/s0895-7177(00)00259-4
ISSN
0895-7177