Analytical and Empirical Tools for Nonlinear Network Observability in Autonomous Systems

Analytical and Empirical Tools for Nonlinear Network Observability in Autonomous Systems

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

Range-only and bearing-only navigation

26 of 28

26 of 28

Range-only and bearing-only navigation

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Classroom Contents

Analytical and Empirical Tools for Nonlinear Network Observability in Autonomous Systems

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  1. 1 Intro
  2. 2 Nonlinear Dynamics and Control Lab
  3. 3 Remote Sensing
  4. 4 Dynamics, Control, Sensing, Robustness
  5. 5 Agility and localization in biological systems
  6. 6 Active sensing in engineered systems: Wind-finding
  7. 7 Gyroscopic sensing in insect wings
  8. 8 Reduced-order modeling
  9. 9 Nonlinear observability
  10. 10 Observability via linearization about trajectory
  11. 11 Empirical observability Gramian
  12. 12 Limit case
  13. 13 Finite epsilon case
  14. 14 Fisher information bound
  15. 15 Sensor Selection - Problem framework
  16. 16 Sensor placement results
  17. 17 Optimal sensor placement
  18. 18 Network Observability
  19. 19 Optimization Algorithm
  20. 20 Virus Spreading Model (SIS)
  21. 21 Sparse or Dense Network Node Sensor Selection
  22. 22 Privacy in Networked Systems
  23. 23 Network Security
  24. 24 Mathematical Modeling
  25. 25 Optimal sensor locations for vortex sensing
  26. 26 Range-only and bearing-only navigation
  27. 27 Ongoing work
  28. 28 Acknowledgements

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