Real-time recurrent neural state estimation

This paper deals with real-time adaptive tracking for discrete-time induction motors in the presence of bounded disturbances. A high-order neural-network structure is used to identify the plant model, and based on this model, a discrete-time control law is derived, which combines discrete-time block-control and sliding-mode techniques. This paper also includes the respective stability analysis for the whole system with a strategy to avoid adaptive weight zero-crossing. The scheme is implemented in real time using a three-phase induction motor. " 2009 IEEE.",,,,,,"10.1109/TCST.2008.2009466",,,"http://hdl.handle.net/20.500.12104/44086","http://www.scopus.com/inward/record.url?eid=2-s2.0-73249124869&partnerID=40&md5=40ad04de385b99524d40fb61bb4157b5",,,,,,"1",,"IEEE Transactions on Control Systems Technology",,"1