In this paper, a novel partial-state finite-time control scheme is presented for stabilizing chaos in permanent magnet synchronous motor with uncertain parameters. First, a new concept of partial-state finite-time stability is introduced. Based on the cascade-connected system theory, a controller…

In this paper we study how to discover the co-evolution of topics and communities over time in dynamic social networks. We present a topic model-based approach that automatically captures the dynamic features of communities and topics evolution. Our model can…

The paper firstly established the warehouse target locating and tracking system model based on wireless sensor networks. The principle of Location and tracking is applying maximum likelihood estimation algorithm of multilateral measurement method to calculating the coordinates of the unknown…

The lack of the latest measurement information and the Particle serious degradation cause low estimation precision in the tradition particle filter SLAM (simultaneous localization and mapping). For solve this problem, a SRCPF-SLAM (square cubature particle filter simultaneous localization and mapping)…

Particle filter for object tracking could achieve high tracking accuracy.  To track the object, this method generates a number of particles which is the representation of the candidate target object.  The location of target object is determined by particles and…