H∞ state estimation of continuous-time neural networks with uncertainties. [PDF]
Li A, Chen Y, Hu Y, Liu D, Liu J.
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YIPFα1A expression is regulated by multilayered molecular mechanisms
YIPFα1A, a five‐pass Golgi protein, is regulated at multiple layers. (1) Rare‐codon enrichment drives translation‐coupled mRNA decay. (2) A proximal 3′‐UTR element stabilizes mRNA. (3) A distal 3′‐UTR element included by alternate poly(A) site usage represses translation, which can be overridden by the proximal 3′‐UTR element.
Tokio Takaji +2 more
wiley +1 more source
State Estimation for Quadruped Robots on Non-Stationary Terrain via Invariant Extended Kalman Filter and Disturbance Observer. [PDF]
Wan M, Liu D, Wu J, Li L, Peng Z, Liu Z.
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Unified Shape and External Load State Estimation for Continuum Robots. [PDF]
Ferguson JM, Rucker DC, Webster RJ.
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Allocation of Eavesdropping Attacks for Multi-System Remote State Estimation. [PDF]
Chang X, Peng L, Zhang S.
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Cerebellar state estimation enables resilient coupling across behavioural domains. [PDF]
Palacios ER +3 more
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Motion State Estimation with Bandwidth Constraints and Mixed Cyber-Attacks for Unmanned Surface Vehicles: A Resilient Set-Membership Filtering Framework. [PDF]
Wang Z, Lou P, Wang Y, Li J, Wang J.
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Networked SIRS model with Kalman filter state estimation for epidemic monitoring in Europe
Aalto A +4 more
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Unifying theory of quantum state estimation using past and future information [PDF]
Quantum state estimation for continuously monitored dynamical systems involves assigning a quantum state to an individual system at some time, conditioned on the results of continuous observations.
Howard Wiseman +2 more
exaly +3 more sources
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State Estimation with Probability Constraints
Proceedings of the 44th IEEE Conference on Decision and Control, 2006This paper considers a state estimation problem for a discrete-time linear system driven by a Gaussian random process. The second order statistics of the input process and state initial condition are uncertain. However, the probability that the state and input satisfy linear constraints during the estimation interval is known.
Mario A. Rotea, Carlos Lana
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