3 papers
eess.SY2026
Uniform High-Probability ISS Tubes for Sampled-Data State Estimation
Jerzy Baranowski
State estimates used in sampled monitoring and automation need bounds that remain valid between measurements. We develop a finite-horizon input-to-state-stability tube and observer…
eess.SY2026
High-Probability ISS Tubes for Continuous-Time State Estimation
Jerzy Baranowski
This paper studies a probabilistic interpretation of input-to-state stability (ISS) bounds for estimation-error dynamics in continuous-time systems. We show that, if the aggregated…
cs.LG2025
Comparison of Deep Recurrent Neural Networks and Bayesian Neural Networks for Detecting Electric Motor Damage Through Sound Signal Analysis
Waldemar Bauer, Jerzy Baranowski
Fault detection in electric motors is a critical challenge in various industries, where failures can result in significant operational disruptions. This study investigates the use…