System Simulation Technology 

Abstract: The unconventional emergency management has a great demand for modeling and simulation;meanwhile it also put forward a series of new technique challenges. The article analyses the function of the modeling and simulation in all aspects of the emergency management,discusses the new challenges of the research on modeling and simulation theory,and corresponding modeling and simulation platform facing to the demand of the unconventional emergency management.

Abstract: Relief is a feature evaluation method which performs well,while the weight of feature could fluctuate w ith the samples,w hich lead to poor recognition accuracy.To solve this problem,a novel feature selection algorithm based on Mean-Variance model is presented.It takes both the mean and the variance into account as the criterion of feature evaluation,w hich makes the result more stable and accurate.Based on real seismic signals of ground targets,experiment results indicate that the subsets of feature generated by proposed algorithm have better performance.

Abstract: The attitude determination precision of strap-down star sensor restrict by its installation error, w hich must be calibrated and compensated. Based on analyses the coupling relationship betw een attitude and installation error of star sensor,a new static calibration approach using star sensor output data has been discussed and the procedure of the installation error calculation w as given. The simulation results demonstrate that the proposed approach can calibrate installation error at high precision,and the attitude determination precision can be improved after compensation,has the theoretic and practical benefits for star sensor application.

Abstract: The multi-agent system(MAS) based strategy and corresponding implementing algorithms for UUVs formation navigation are proposed according to aviation characteristics and practical const raint s of UUVs.The coordinative optimizations among every individual UUV are carried out w ith flexible and smart w ays by interactive communications and information feedback in MAS so as to implement the autonomous formation navigation of UUVs.Furthermore the control law and corresponding algorithms of the UUV controller in the formation process are studied in depth based on the controller in the formation keeping and simulation result s verify the robustness and stability of the formation cont rollers.Finally,the formation intelligent control method w as verified by simulated verification and comparative analysis.