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Robust distributed state estimation is investigated in this paper for a networked dynamical system composed of many subsystems interacting with each other. The explicit and recursive expressions for the pseudo covariance matrix of the prediction errors and the update gains for each individual subsystem are derived, then the robust distributed state predictor is realized under the coordination of a...
Robust state estimation of a discrete time-varying uncertain system is investigated in this paper when there are not only process and measurement noise, but also parameter uncertainties which affect a state-space model arbitrarily. The expectation minimization based robust state estimation is generalized to uncertain linear systems with a known deterministic input signal. The derived robust estimator...
In this paper we reinvestigate the distributed state observer for a spatially interconnected system composed of many subsystems interacting with each other. Several LMI based conditions are provided which are less conservative than or complement with the existed ones. These conditions utilize effectively the block-diagonal characteristic of system parameters and the sparseness of subsystem connection...
A decentralized state estimator based on a robust estimation framework is derived for a spatially interconnected system constituting by many arbitrarily interconnected subsystems. It combines the robust estimation framework in [21] and the decentralized estimation design in [22] whose computation efficiently utilizes the block-diagonal characteristic of system parameter matrices and the sparseness...
In order to improve the quality of fusion image integrated by infrared and visible images, so that it is more suitable for human and computer vision or processing. A two-step fusion method, that is region structure similarity and Contourlet transform, is presented. With the blocking idea, source images are fused by using region structure similarity, region energy ratio and region clarity ratio to...
A distributed state observer is derived for a networked system with linear time invariant dynamics. The subsystems may have different dynamics and the connections among them are arbitrary but fixed. On an LMI verification condition, a completely distributed observer can be stabilized using gain matrices for every subsystem. Numerical simulation shows that this method is attractive in the analysis...
WSN is a distributed network exposed to an open environment, which is vulnerable to malicious nodes. To find out malicious nodes among a WSN with mass sensor nodes, this paper presents a malicious detection method based on multi-variate classification. Given the types of a few sensor nodes, it extracts sensor nodes' preferences related with the known types of malicious node, establishes the sample...
Characteristics of several RGB-HSX conversion methods and differences among their space structures were pointed out. Determinants of those differences were analyzed. Rules between RGB-HSX conversions and 3D models were put forwarded to construct ideal models. The conclusions have references values for using color model effectively.
In this study, coulostatic method is used for corrosion monitoring system that is based on remote communication method by the advanced mobile net platform. The system is consisted of a field corrosion measure unit, monitor and control center. Using visual C++ and MatLab for mix-program, adopting non-linear least-square method, the data parsed system of the monitor and control center can obtain the...
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