Real-time numerical differentiation of sampled data using adaptive input and state estimation
Author:
Affiliation:
1. Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA
2. Ford Motor Company, Dearborn, MI, USA
Funder
Ford Motor Company
NSF
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207179.2024.2313046
Reference57 articles.
1. A scheme for stable numerical differentiation
2. Simultaneous Estimation of the State, Unknown Input, and Output Disturbance in Discrete-Time Linear Systems
3. Journal of Global Positioning Systems
4. An adaptive sliding mode differentiator for actuator oscillatory failure case reconstruction
5. IEEE Transactions on Control Systems Technology
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1. Adaptive Real-Time Numerical Differentiation with Variable-Rate Forgetting and Exponential Resetting;2024 American Control Conference (ACC);2024-07-10
2. Real-Time Kinematics-Based Sensor-Fault Detection for Autonomous Vehicles Using Single and Double Transport with Adaptive Numerical Differentiation;2024
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