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Preprint Sep 2026

Active Informativity: Online Input Design for Data-Driven Control

We develop a unified framework for online input design in data-driven control from noisy data. We introduce a performance measure and analyze how such quality measure changes as new data are added. Based on such analysis we propose an online method for selecting inputs that ensures that data quality does not decrease o...

Yi-Shu Wang, P. Rapisarda, Jian-Quan Lu et al. · 0 citations
2026

Credibility State Estimation Fusion Driven by Deep Learning for Low-Altitude Target Tracking

This paper presents a novel fusion estimation framework that integrates credibility-based Kalman filtering with Long Short-Term Memory (LSTM) networks to address uncertain dynamic model parameters in low-altitude target tracking. First, the iterative formulation of a Cubature Kalman Filter (CKF) is reformulated to enab...

Quan-Bo Ge, Yi-Chang Cao, Kai Lin et al. · 0 citations

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