Framework for managing inexact solvers in recursive estimation: separates computational errors from inherited gain drift, applies ML corrections, quantifies finite-horizon response. Demonstrated with quantum solvers on superconducting hardware.

#QuantumComputing #StateEstimation #Research

New video: Adaptive estimation & control with Julia! Learn system identification with JuliaSim & LowLevelParticleFilters.jl. Watch now! youtu.be/Ip_prmA7QTU
#Julialang #JuliaSim #ControlSystems #Programming #AdaptiveControl #StateEstimation #ScientificComputing

[International Journal of Network Dynamics and Intelligence]
This Highlight article proposes an LMMSE estimator for multi-rate NCSs with observation delays and unknown Markov packet losses.
www.sciltp.com/journals/ijn...
#ControlSystems #SignalProcessing #NetworkSystems #StateEstimation #Automation

Stop unpredictable system failure! Learn how to use Kalman filters in Dyad for real-time fault detection and seamless cloud deployment. Join our technical deep-dive:
juliahub.com/events/build...

#Julialang #StateEstimation #KalmanFilter #DigitalTwin #PredictiveMaintenance #Dyad #webinar

#StateEstimation for Continuum Multirobot Systems on SE(3). How do you estimate the shape & configuration of multiple continuum robots working together? This paper formulates the problem on SE(3) & delivers a rigorous, unified estimation framework.
https://ieeexplore.ieee.org/document/10816239

Neural Bayesian Filtering (NBF) offers compact belief embeddings for state estimation, showing improved tracking in three partially observable environments. Read more: https://getnews.me/neural-bayesian-filtering-advances-state-estimation-for-ai-systems/ #neuralbayesianfiltering #stateestimation

A stochastic framework for state estimation in continuum robots, using factor-graph GP, was submitted on 1 Oct 2025 and offers linear-time computation despite sensor dropouts. https://getnews.me/stochastic-method-improves-continuous-time-estimation-for-robots/ #continuumrobots #stateestimation