GitHub

Meta-Learning State Space Models

This repository includes source code for training and evaluating meta-learning for system identification and control via neural state-space models, proposed in IFAC World Congress paper: ...
IEEE

Sampling in Parametric and Nonparametric System Identification: Aliasing, Input Conditions, and Consistency

Abstract: The sampling rate of input and output signals is known to play a critical role in the identification and control of dynamical systems. For slow-sampled continuous-time systems that do not ...
Canada

Maritime identification systems

The system enhances our ability to identify and monitor maritime traffic, and provides awareness of vessels approaching and operating in Canadian waters. We’re responsible for the construction and ...
IEEE

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification

Abstract: While accurate, black-box system identification models lack interpretability of the underlying system dynamics. This letter proposes State-Space Kolmogorov-Arnold Networks (SS-KAN) to ...