Earticle

초록

영어

The multi-sensor information fusion predictive control algorithm for discrete-time linear time-invariant stochastic control system is presented in this paper. This algorithm combines the fusion steady-state Kalman filter with the predictive control. It avoids the complex Diophantine equation and it can obviously reduce the computational burden. The algorithm can deal with the multi-sensor discrete-time linear time-invariant stochastic controllable system based on the linear minimum variance optimal information fusion criterion. The fusion method includes the centralized fusion, matrices weighted and the covariance intersection fusion. Under the linear minimum variance optimal information fusion criterion, the calculation formula of optimal weighting coefficients have be given in order to realize matrices weighted. To avoid the calculation of cross-covariance matrices, another distributed fusion filter is also presented by using the covariance intersection fusion algorithm, which can reduce the computational burden. And the relationship between the accuracy and the computation complexities among the three fusion algorithm are analyzed. Compared with the single sensor case, the accuracy of the fused filter is greatly improved. A simulation example of the target tracking controllable system with two sensors shows its effectiveness and correctness.

목차

Abstract
 1. Introduction
 2. Problem Formulation
 3. Local Steady-State Kalman Filter
 4. Fusion Kalman Filter
 5. Predictive Control Algorithm Base on Steady-State Kalman Filter1
 6. Simulation Example
 7. Conclusions
 Acknowledgment
 References

키워드

저자

• Ming Zhao [ School of Computer and Information Engineering Harbin University of Commerce HeiLongjiang, Harbin, 150001, China ]
• Yun Li [ School of Computer and Information Engineering Harbin University of Commerce HeiLongjiang, Harbin, 150001, China, Electronic Engineering Institute Heilongjiang University Heilongjiang, Harbin, 150080, China ]
• Gang Hao [ Electronic Engineering Institute Heilongjiang University Heilongjiang, Harbin, 150080, China ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605