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