Neuro-fuzzy identification and control of a chain of oscillators

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