ITEvaLi | 2018 | ISBN: 1048197050 9781048197051 | 172 Pages | PDF | 14 MB
This volume is dedicated to recent developments in Kalman filter theory and their applications.
The book organized in chapters corresponding to recent advances in Kalman filtering theory, applications in nonlinear control, mechatronic systems, vehicle vynamics, electrical engineering.
The book is suitable for practitioners who want to learn more about techniques for understanding insights mathematical problems.
1Sensitivity-Based Adaptive SRUKF for State, Parameter, and Covariance Estimation on Mechatronic Systems
2Adaptive Unscented Kalman Filter Applications in Nonlinear Control
3Nonlinear State and Parameter Estimation Using Iterated Sigma Point Kalman Filter
4Extended Kalman Filter with a Fuzzy Method: Accurate Battery Pack State of Charge Estimation
5The Error Covariance Matrix Inflation in Ensemble Kalman Filter
6Distributed Kalman Filter
7Unscented Kalman Filter for State and Parameter Estimation in Vehicle Dynamics