A Square Root Extended Set Membership Algorithm with Applications to Nonlinear System Estimation

摘要：

In this paper, a square root extended set membership (SRESM) state estimation algorithm is proposed to further improve the numerical accuracy and stability of the nonlinear system estimation. In comparison with the existing extended set membership (ESM), the proposed square root ESM using the efficient and stable updating recursions provides much more accurate estimation results. It has improved numerical stability and real time applicability. Simulation results in estimation of mobile robot localization are given to show the effectiveness and robustness of the proposed algorithm.

作者: Qing He Jing Zhang

作者单位: School of Electrical and Information Engineering Changsha University of Science and Technology, Changsha 410076, China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 559-562

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）