Control Theory

1 Open Access Books

34 Authors and Editors

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7 Dimensions Citations

1 peer-reviewed open access book

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Most cited chapters in this category

Chapter titleDownloads
1. Consensus-Based Distributed Filtering for GNSS

By Amir Khodabandeh, Peter J.G. Teunissen and Safoora Zaminpardaz

Part of book: Kalman Filters - Theory for Advanced Applications

589
2. Unscented Kalman Filter for State and Parameter Estimation in Vehicle Dynamics

By Mark Wielitzka, Alexander Busch, Matthias Dagen and Tobias Ortmaier

Part of book: Kalman Filters - Theory for Advanced Applications

852
3. Distributed Kalman Filter

By Felix Govaers

Part of book: Kalman Filters - Theory for Advanced Applications

563

Most downloaded chapters in this category in last 30 days

Chapter title
1. Kalman Filter for Moving Object Tracking: Performance Analysis and Filter Design

By Kenshi Saho

Part of book: Kalman Filters - Theory for Advanced Applications

2. Unscented Kalman Filter for State and Parameter Estimation in Vehicle Dynamics

By Mark Wielitzka, Alexander Busch, Matthias Dagen and Tobias Ortmaier

Part of book: Kalman Filters - Theory for Advanced Applications

3. Applications of Kalman Filters for Coherent Optical Communication Systems

By Lalitha Pakala and Bernhard Schmauss

Part of book: Kalman Filters - Theory for Advanced Applications

4. Application of Kalman Filtering in Dynamic Prediction for Corporate Financial Distress

By Qian Zhuang

Part of book: Kalman Filters - Theory for Advanced Applications

5. Kalman Filters for Parameter Estimation of Nonstationary Signals

By Sarita Nanda

Part of book: Kalman Filters - Theory for Advanced Applications

6. The Error Covariance Matrix Inflation in Ensemble Kalman Filter

By Guocan Wu and Xiaogu Zheng

Part of book: Kalman Filters - Theory for Advanced Applications

7. Consensus-Based Distributed Filtering for GNSS

By Amir Khodabandeh, Peter J.G. Teunissen and Safoora Zaminpardaz

Part of book: Kalman Filters - Theory for Advanced Applications

8. Distributed Kalman Filter

By Felix Govaers

Part of book: Kalman Filters - Theory for Advanced Applications

9. A Reference Recursive Recipe for Tuning the Statistics of the Kalman Filter

By Mudambi R Ananthasayanam

Part of book: Kalman Filters - Theory for Advanced Applications

10. Sensitivity-Based Adaptive SRUKF for State, Parameter, and Covariance Estimation on Mechatronic Systems

By Mauro Hernán Riva, Mark Wielitzka and Tobias Ortmaier

Part of book: Kalman Filters - Theory for Advanced Applications