Fuzzy logic finite state machine models for real time systems

Author

Grantner, Janos L. ; Patyra, Marek J.

Author_Institution

Dept. of Electr. Eng., Western Michigan Univ., Kalamazoo, MI, USA

fYear

1994

fDate

18-21 Dec 1994

Firstpage

296

Lastpage

300

Abstract

Dynamic linguistic models can be implemented by fuzzy automata. In this paper the model of the fuzzy-state-fuzzy-output finite state machine (FSFO FSM) is discussed. The FSFO FSM is realized using the concepts of crisp-state-fuzzy-output FSM (CSFO FSM) and state membership functions (SMF). A systematic method is suggested to design the state transients of the FSFO FSM by means of a specified sequence of changes at the fuzzy inputs and outputs. The presented FSFO FSM model exhibits new features for tuning adaptive fuzzy logic controllers working in the real time environment

Keywords

MIMO systems; adaptive control; finite state machines; fuzzy control; fuzzy logic; real-time systems; adaptive fuzzy logic controllers; crisp-state-fuzzy-output; dynamic linguistic models; fuzzy automata; fuzzy logic finite state machine models; fuzzy-state-fuzzy-output finite state machine; real time systems; state membership functions; state transients; tuning; Algorithm design and analysis; Automata; Boolean functions; Design methodology; Fuzzy logic; Fuzzy sets; Fuzzy systems; MIMO; Real time systems; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,

Conference_Location

San Antonio, TX

Print_ISBN

0-7803-2125-1

Type

conf

DOI

10.1109/IJCF.1994.375117

Filename

375117