A Robust Unscented M-Estimation-Based Filter for Vehicle State Estimation With Unknown Input
Author:
Affiliation:
1. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China
2. School of Vehicle and Mobility, Tsinghua University, Beijing, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of the People's Republic of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/9805757/09744542.pdf?arnumber=9744542
Reference37 articles.
1. Sensor Reduction for Driver-Automation Shared Steering Control via an Adaptive Authority Allocation Strategy
2. A Three-Dimensional Dynamics Control Framework of Vehicle Lateral Stability and Rollover Prevention via Active Braking With MPC
3. A Robust Generalized-Maximum Likelihood Unscented Kalman Filter for Power System Dynamic State Estimation
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