"Kalman Filters: Theory for Advanced Applications" ed. by Eva Li
"Kalman Filters: Theory for Advanced Applications" ed. by Eva Li
ITEvaLi | 2018 | ISBN: 1048197050 9781048197051 | 172 pages | PDF | 14 MB
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.
Contents
Preface
1 Sensitivity-Based Adaptive SRUKF for State, Parameter, and Covariance Estimation on Mechatronic Systems
2 Adaptive Unscented Kalman Filter Applications in Nonlinear Control
3 Nonlinear State and Parameter Estimation Using Iterated Sigma Point Kalman Filter
4 Extended Kalman Filter with a Fuzzy Method: Accurate Battery Pack State of Charge Estimation
5 The Error Covariance Matrix Inflation in Ensemble Kalman Filter
6 Distributed Kalman Filter
7 Unscented Kalman Filter for State and Parameter Estimation in Vehicle Dynamics
1st true PDF with TOC BookMarkLinks