FUZZY ADAPTIVE CONTROLLER BASED ON OBSERVER FOR A CLASS OF UNKNOWN CHAOTIC SYSTEMS

This paper proposes an adaptive fuzzy control system based on sliding mode like observer for a class of unknown chaotic systems. The design of the underlying update law as well as the robust control term is based on an appropriate filtering of the sliding surface. This particularly allows to overcome the output observation error filtering or the necessity of the famous SPR condition. The performances of the proposed control system are illustrated throughout a simulation results involving a Duffing forced oscillation system.