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Found 4 papers, 1 papers with code
Baseline Results for Selected Nonlinear System Identification Benchmarks
Nonlinear system identification remains an important open challenge across research and academia.
Probabilistic Numeric SMC Sampling for Bayesian Nonlinear System Identification in Continuous Time
To address this issue, the field of probabilistic numerics combines numerical methods, such as numerical integration, with probabilistic modeling to offer a more comprehensive analysis of total uncertainty.
Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods
The collected data is made freely and openly available with the intention that it serve as a benchmark dataset for challenges in full-scale structural dynamics.
PAO: A general particle swarm algorithm with exact dynamics and closed-form transition densities
A great deal of research has been conducted in the consideration of meta-heuristic optimisation methods that are able to find global optima in settings that gradient based optimisers have traditionally struggled.
