A5034238227- Vehicle Dynamics and Control Systems
- Advanced Battery Technologies Research
- Real-time simulation and control systems
- Soil Mechanics and Vehicle Dynamics
- Target Tracking and Data Fusion in Sensor Networks
- Infrastructure Maintenance and Monitoring
- Machine Fault Diagnosis Techniques
- Ferroelectric and Negative Capacitance Devices
- Mechanical Engineering and Vibrations Research
- Structural Health Monitoring Techniques
- Aluminum Alloys Composites Properties
- MXene and MAX Phase Materials
Southeast University
2014-2024
The exact acquisition of vehicle states is a prerequisite to improve the safety vehicles. However, existing methods for state estimation focus only on improvement accuracy and rarely consider effects delayed measurements packet loss sensor data. To deal with this problem, an adaptive unscented Kalman filter proposed estimation. Stochastic variables satisfying Bernoulli distribution are adopted characterize stochasticity loss. mathematical expression algorithm has been presented based theory...
Accurate acquisition of critical vehicle states is a prerequisite for active safety systems to work properly. However, sates under non-ideal conditions are usually difficult be measured directly due the high cost sensors. To deal with problem, an adaptive strong tracking maximum correntropy criterion extended Kalman filter (ASTMCC-EKF) put forward estimate states. Maximum (MCC) introduced as optimization construct function. Strong employed dynamically adjust prior error covariance matrix....