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The consensus error calculation of the multi-agent systems (MASs) with system noises and communication noises is considered in this paper. Each agent is modeled by a continuous-time linear time-invariant dynamics and the communication topology is described by an undirected graph. It is supposed that the agent can obtain its own state accurately and receive the state of the neighbor agent with noisy...
This paper, we propose a method that exploit total generalized variation (TGV) and Shearlet transform for image restoring. The TGV adaptive regularize different image regions at different levels and the Shearlet transform can efficiently represent image anisotropic features such as edges, curves. A new image restoration model combining TGV and Shearlet transform is proposed for image restoration....
In the imaging process of the remote sensing, there was degradation phenomenon in the acquired images. This paper, we present a group sparse regularization based iterative incremental for remote image deblurring estimating a single latent sharp image given either a single or multiple blurry and/or noisy observations. Considering the sparseness and nonlocal similarity properties of image, a group sparse...
As is well known to all, the multi-agent systems (MASs) are not able to reach consensus with any protocol if the MASs contains system noise. The problem of consensus error calculation for MASs with both system and measurement noises is considered. The contributions of the paper are two aspects. The first one is to design a novel protocol based on the Kalman filtering and information fusion, so that...
This paper considers sparse feedback gains design of distributed systems. We design the sparse pattern of feedback gains by incorporating sparsity-promoting penalty functions into the infinite horizon quadratic optimal control problem. The added penalty functions approximates the counting of the communicating links. We reformulate this combination optimization problem as a sequence of weighted l2...
With the development of Unmanned Aerial Vehicles (UAVs) remote sensing technique, some researchers began to apply the UAV imagery to investigate Yellow River's dike hazards. There has been an urgent need for establishing automatic and accurate registration techniques of UAV remote sensing imagery. High-precision image registration will enhance the reliability of the investigation. As the Yellow River...
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