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The Application Of Fornasini-marchesini ? State-space Model In Space Embedding Wireless Sensor Network

Posted on:2018-01-21Degree:MasterType:Thesis
Country:ChinaCandidate:Z L ChengFull Text:PDF
GTID:2428330605452715Subject:Circuits and Systems
Abstract/Summary:PDF Full Text Request
The state space model of the Fornasini-Marchesini II(F-M II)is of great importance in the study of multidimensional systems.It is an important model for the prediction and control of the system through some states and inputs associated with the system.The F-M II state space model can take into account the influence of various factors on the system at the same time,which makes it a very important practical significance and useful value for its research.At present,the research of this state space model is focused on the low-dimensional realization and stability research of the system.The application of the state space model is still relatively small,and the existing research is focused on the grid Of the wireless sensor network in the study.In this paper,the realization of F-M II state space model in sensor network is studied,Based on the analysis of the state space model and the process of information processing in the network,the establishment of state space model in the network is studied.To achieve the algorithm to solve the system of low-order implementation of the matrix.Through the study of the F-M II state space model in the multidimensional system,the realization of the state space model in the sensor network of the rule deployment is extended to the arbitrary deployment of the sensor network through the idea of spatial embedding,and the single input single output and multiple input multiple output system is analyzed and the matrix is solved.This paper analyzes the difference between the realization of the system and the simplification of the system through the state space model,and analyzes the practical significance of the model.
Keywords/Search Tags:Fornasini-Marchesini II state space model, Space Embedding, Multidimensional system, Sensor network
PDF Full Text Request
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