Critical Slowing Down

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8 papers0 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

Indicators of resilience for autonomous control systems
Sep 16, 2026Jasper van Beers, Da-Hwi Kim, Prashant Solanki +1Robot Failure Detection Early Warning Detection
Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS Delft, The Netherlands
Dynamical phase selection controls compute scaling in looped transformers
Aug 27, 2026Gunn KimCritical Slowing Down Inference-Time Scaling
Department of Physics, Sejong University, Seoul 05006, Republic of Korea
Critical slowing down for predicting controller induced loss of control in quadrotors
Jul 28, 2026Jasper J. van Beers, Prashant Solanki, Erik-Jan van Kampen +1Safety-Critical Control Early Warning Detection
PhD Candidate, Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS Delft, The Netherlands · PostDoc, Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS Delft, The Netherlands · Associate professor, Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS Delft, The Netherlands
Variational Autoregressive Networks with probability priors
May 15, 2026Piotr Białas, Piotr Korcyl, Tomasz Stebel +1Critical Slowing Down Autoregressive Generation
Institute of Applied Computer Science, Jagiellonian University, ul. Łojasiewicza 11, 30-348, Kraków, Poland · Institute of Theoretical Physics, Jagiellonian University, ul. Łojasiewicza 11, 30-348, Kraków, Poland · Doctoral School of Exact and Natural Sciences, Jagiellonian University, ul. Łojasiewicza 11, 30-348, Kraków, Poland
The critical slowing down in diffusion models
May 12, 2026Luca Maria Del Bono, Giulio Biroli, Patrick Charbonneau +1Diffusion Sampling Critical Slowing Down
Dipartimento di Fisica, Sapienza Università di Roma, Piazzale Aldo Moro 5, Rome 00185, Italy · CNR-Nanotec, Rome unit, Piazzale Aldo Moro 5, Rome 00185, Italy · Laboratoire de Physique Statistique, École normale supérieure, PSL Research University, 24 rue Lhomond, 75005 Paris, France +3
TokaMind for Power Grid: Cross-Domain Transfer from Fusion Plasma
May 10, 2026JC Wu, Norton Lee, Kai Siang ChenTime Series Classification Critical Slowing Down
TaiScience Research Group, affiliated with Fu Jen Catholic University, Taiwan · Center for Geometry and Physics, Institute for Basic Science (IBS), South Korea · Fu Jen Catholic University, Taiwan
Phase Transitions in Affective Meaning Divergence: The Hidden Drift Before the Break
May 9, 2026Napassorn LitchiowongPhase Transitions Critical Slowing Down
School of Computing, National University of Singapore
Feedback-Coupled Memory Systems: A Dynamical Model for Adaptive Coordination
Mar 12, 2026Stefano GrassiCritical Slowing Down Multi-Agent Coordination
Bangkok University, Phahonyothin Rd, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand

Sep 16, 2026J/K move · Enter open · S save

Indicators of resilience for autonomous control systems

Jasper van Beers, Da-Hwi Kim, Prashant Solanki, Coen de Visser

Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS Delft, The Netherlands

Robot Failure Detection Early Warning Detection Critical Slowing Down

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As modern societies rely more on autonomous systems to facilitate daily life, assuring their safe operation is paramount. Naturally, there are many techniques available to predict and prevent system failures. However, the safety afforded by such schemes may become misaligned with the true system, which can change in unexpected ways - from partial faults to natural wear-and-tear - that subtly degrade its stability. The implications that such subtle changes have on autonomous system stability can be observed through generic indicators of resilience derived from critical slowing down, popular for anticipating catastrophic tipping points in natural systems. Here, we show how one can systematically design these generic indicators for nonlinear control systems and show how these can reflect loss of stability though simulations of canonical robotic systems wherein their proximity to instability is manipulated directly. These results are affirmed through real-world flight experiments of a quadrotor that is nudged towards instability by progressively damaging its propeller blades. Our results show that the implications of degraded resilience on closed-loop stability are evident well before they appear, for which the indicators of resilience derived here can provide an early warning.