During the last few years a very common question in the field of nonlinear complex systems mainly concerned how their dynamics can be detected, characterised, and particularly controlled. In this paper a fuzzy model of a forced damped nonlinear pendulum, identified by using the innovative soft-computing techniques, is proposed. Soft-computing, an innovative approach to constructing computationally intelligent systems, has just come into the limelight. The quintessence of designing intelligent systems of this kind is neuro-fuzzy computing. In the last section, the behaviour of a linear chain of identical obtained fuzzy systems has been investigated and the use of disorder as a means to control spatio-temporal dynamics has been explored.
Neuro-Fuzzy Identification and Control of a Chain of Oscillators / Bucolo, M.; Fortuna, L.; Graziani, S.; Rizzo, A.. - STAMPA. - (1999), pp. 717-720. (Intervento presentato al convegno 6th IEEE International Conference on Electronics, Circuits and Systems, ICECS 1999 tenutosi a Pafos, Cyprus nel September 5-8, 1999) [10.1109/ICECS.1999.813209].
Neuro-Fuzzy Identification and Control of a Chain of Oscillators
A. Rizzo
1999-01-01
Abstract
During the last few years a very common question in the field of nonlinear complex systems mainly concerned how their dynamics can be detected, characterised, and particularly controlled. In this paper a fuzzy model of a forced damped nonlinear pendulum, identified by using the innovative soft-computing techniques, is proposed. Soft-computing, an innovative approach to constructing computationally intelligent systems, has just come into the limelight. The quintessence of designing intelligent systems of this kind is neuro-fuzzy computing. In the last section, the behaviour of a linear chain of identical obtained fuzzy systems has been investigated and the use of disorder as a means to control spatio-temporal dynamics has been explored.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
