Title :
Characterization and control of the chaotic regime in fuzzy and neuro-fuzzy systems
Author :
Teodorescu, Horia-Nicolai ; Mlynek, Daniel ; Peillon, Xavier
Author_Institution :
Comput. Sci., Univ. of South Florida, Tampa, FL, USA
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
Issues related to the characterization and control of the chaotic regime of fuzzy and neuro-fuzzy systems used in industrial applications are addressed. The sensitivity analysis for chaotic fuzzy and neuro-fuzzy systems, and choice of the operating region for the chaotic regime are presented. A new type of control, specific to chaotic systems, is introduced. The methodology of this type of control is based on a method to globally characterize the chaotic regime.
Keywords :
fuzzy control; fuzzy neural nets; neurocontrollers; nonlinear control systems; chaotic fuzzy systems; chaotic regime control; neuro-fuzzy systems; sensitivity analysis; Aerospace electronics; Chaotic communication; Control systems; Fuzzy systems; Sensitivity; Shape; chaos characterization; chaos control; neuro-fuzzy system;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
