TY - GEN
T1 - Transient probabilistic recurrent fuzzy systems
AU - Diepold, Klaus J.
AU - Lohmann, Boris
PY - 2010
Y1 - 2010
N2 - A probabilistic-based extension of recurrent fuzzy systems is presented and exemplarily applied to modeling and control of systems in different domains. The system's core-dynamic is described by a recurrent fuzzy system, while further known influencing features are summarized via probability theory using a stochastic automaton. The appropriate conditional probabilities are used to adapt the dynamics of the recurrent fuzzy system depending on its state variables. By allowing transient conditional probabilities, a time-variance is simultaneously achieved. Thus, the developed transient probabilistic recurrent fuzzy system (TP-RFS) is able to handle two kinds of uncertain information (vague and stochastic) and allows slight as well as drastic adaptations of the original recurrent fuzzy system's dynamics. Successful applications of the proposed TP-RFS for modeling different dynamics of an ecological system and for controlling the speed signaling on a highway are shown.
AB - A probabilistic-based extension of recurrent fuzzy systems is presented and exemplarily applied to modeling and control of systems in different domains. The system's core-dynamic is described by a recurrent fuzzy system, while further known influencing features are summarized via probability theory using a stochastic automaton. The appropriate conditional probabilities are used to adapt the dynamics of the recurrent fuzzy system depending on its state variables. By allowing transient conditional probabilities, a time-variance is simultaneously achieved. Thus, the developed transient probabilistic recurrent fuzzy system (TP-RFS) is able to handle two kinds of uncertain information (vague and stochastic) and allows slight as well as drastic adaptations of the original recurrent fuzzy system's dynamics. Successful applications of the proposed TP-RFS for modeling different dynamics of an ecological system and for controlling the speed signaling on a highway are shown.
KW - Adaptation
KW - Probability theory
KW - Recurrent fuzzy systems
KW - Stochastic automaton
UR - http://www.scopus.com/inward/record.url?scp=78751496255&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2010.5642371
DO - 10.1109/ICSMC.2010.5642371
M3 - Conference contribution
AN - SCOPUS:78751496255
SN - 9781424465880
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 3529
EP - 3536
BT - 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
T2 - 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
Y2 - 10 October 2010 through 13 October 2010
ER -