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Found 6 papers, 4 papers with code
Empirical Individual State Observability
Analytical and empirical tools exist for quantifying the (full state) observability of linear and nonlinear systems; however, empirical tools for evaluating the observability of individual state variables are lacking.
A Method for Classifying Snow Using Ski-Mounted Strain Sensors
Understanding the structure, quantity, and type of snow in mountain landscapes is crucial for assessing avalanche safety, interpreting satellite imagery, building accurate hydrology models, and choosing the right pair of skis for your weekend trip.
Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes
Here, we take a complementary in silico approach, using artificial agents trained with reinforcement learning to develop an integrated understanding of the behaviors and neural computations that support plume tracking.
A Nonlinear Observability Analysis of Ambient Wind Estimation with Uncalibrated Sensors, Inspired by Insect Neural Encoding
The analysis shows that it is mathematically feasible to continuously estimate flow direction and perform regular self-calibrations by adopting frequent changes in course (or active prevention thereof) and orientation, and requires fusion and temporal differentiation of three sensory measurements: apparent flow, orientation (or its derivative), and direction of motion (or its derivative).
Numerical differentiation of noisy data: A unifying multi-objective optimization framework
Computing derivatives of noisy measurement data is ubiquitous in the physical, engineering, and biological sciences, and it is often a critical step in developing dynamic models or designing control.
Dynamical Systems Signal Processing
FLIVVER: Fly Lobula Inspired Visual Velocity Estimation & Ranging
Neuroscience and behavior studies with insects have shown that they rely on the perception of image motion, or optic flow, to estimate relative motion, equivalent to a ratio of their velocity and distance to objects in the world.
