Guojiang Shen

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In this paper, we consider the robust face recognition problem via iterative re-constrained group sparse classifier (IRGSC) with adaptive weights learning. Specifically, we propose a group sparse representation classification (GSRC) approach in which weighted features and groups are collaboratively adopted to encode more structure information and(More)
  • Guojiang Shen
  • 2006 6th World Congress on Intelligent Control…
  • 2006
A fire-new two-direction green wave intelligent control strategy was presented to solve the coordinated control problem of urban traffic trunk. The whole control structure was divided into the coordination layer and the control layer. The optimal public cycle time, up-run offset and down-run offset were calculated in the coordination layer, and the splits(More)
This paper presents a new intelligent control strategy to solve the coordination control problem of urban arterial traffic. The whole control structure includes two layers - the coordination layer and the control layer. Public cycle time, splits, inbound offset and outbound offset are calculated in the coordination layer. Public cycle time is adjusted by(More)
From the viewpoint of macroscopic dynamic characteristics of single intersection traffic flow, a commonly used macroscopic dynamic deterministic traffic flow model for traffic control is developed. Furthermore, according to fuzzy control theory and the policeman's experience, multi-phase traffic light control strategy based on the length of the waiting(More)
The realization of Intelligent Transportation System requires the traffic recording data of high quality and sufficient integrity. Such requirements call for pre-processing of the original data. Focusing on traffic flow and in according to the spatial and temporal correlation of traffic flow data, this paper proposes a data recovering method to recover the(More)
This paper investigates the global robust output synchronization problem for a class of nonlinear multi-agent systems. In the considered setup, the controlled agents are heterogeneous and with both dynamic and parametric uncertainties, the controllers are incapable of exchanging their internal states with the neighbors, and the communication network among(More)