Completed
Fisher information bound
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Analytical and Empirical Tools for Nonlinear Network Observability in Autonomous Systems
Automatically move to the next video in the Classroom when playback concludes
- 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
