Computational intelligence in control-a comparison of several neuro-fuzzy systems

Author

Gorzalczany, Marian B. ; Gluszek, Adam

Author_Institution

Dept. of Electr. & Comput. Eng., Kielce Univ. of Technol., Poland

Volume

1

fYear

2000

fDate

2000

Firstpage

31

Abstract

The aim of this paper is to present and compare several neuro-fuzzy systems used as controllers for simulated backing up of a truck to a loading dock in a planar parking lot. The following systems have been considered: nfCon-the system proposed in this paper, an alternative neuro-fuzzy system reported in literature as well as the well-known ANFIS and NFIDENT systems. The main criterion of comparison of all systems is their performance (the accuracy of functioning) versus interpretability the transparency and the ability to explain generated actions; it also includes an analysis and pruning of the obtained fuzzy-rule bases

Keywords

control system synthesis; fuzzy control; fuzzy neural nets; neurocontrollers; position control; road vehicles; ANFIS; NFIDENT; computational intelligence; controllers; fuzzy-rule bases pruning; loading dock; neuro-fuzzy system; neuro-fuzzy systems; nfCon; planar parking lot; truck backing up; Artificial neural networks; Computational intelligence; Computational modeling; Computer simulation; Control system synthesis; Control systems; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Performance analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 2000. ISIE 2000. Proceedings of the 2000 IEEE International Symposium on

Conference_Location

Cholula, Puebla

Print_ISBN

0-7803-6606-9

Type

conf

DOI

10.1109/ISIE.2000.930481

Filename

930481