Adaptive Meta-Learning-based KKL Observer Design for Nonlinear Dynamical Systems
Author:
Affiliation:
1. Technical University of Berlin,Control Systems Group,Germany
2. Technical University of Berlin,Control Systems Group and Science of Intelligence, Research Cluster of Excellence,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10590709/10590710/10591015.pdf?arnumber=10591015
Reference28 articles.
1. Observing the State of a Linear System
2. Observer design for continuous-time dynamical systems
3. The extended Luenberger observer for nonlinear systems
4. The extended Kalman filter as an exponential observer for nonlinear systems
5. A strong tracking extended Kalman observer for nonlinear discrete-time systems
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