Risk‐aware safe reinforcement learning for control of stochastic linear systems
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
Numerical simulation of the seismic response of corroded pipelines crossing faults. [PDF]
Li Y, Zhang A.
europepmc +1 more source
Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems
Abstract This paper addresses the challenge of modeling and identifying large‐scale interconnected systems exhibiting memory effects, hereditary properties, and non‐local interactions. We propose a fractional‐order extension of the Hammerstein architecture that incorporates Grünwald–Letnikov operators to capture complex dynamics through multiple ...
Mourad Elloumi +2 more
wiley +1 more source
Individual, High-Precision 3D Mandibular Model for Finite Element Analysis of Three-Unit Bridges: A Biomechanical Pilot Study. [PDF]
Pelsőczi-Kovács I +3 more
europepmc +1 more source
Model‐Enabled Knowledge Transfer Across Cell Lines, Culture Scales and Conditions
ABSTRACT Mechanistic models are central to quantitative understanding and optimization of Chinese hamster ovary (CHO) cell culture processes, but their utility is often restricted by parameter sets calibrated for specific cell lines, scales, or operating conditions.
Luxi Yu +2 more
wiley +1 more source
Fuzzy adaptive nonlinear MIMO control for rigid coupled multibody robots using reinforcement learning model. [PDF]
Duan C, Wang L, Li S.
europepmc +1 more source
LLM‐Guided Parameter Optimization for Mechanistic CHO Cell Bioreactor Models
ABSTRACT Mechanistic models of Chinese Hamster Ovary (CHO) cell cultures are essential for efficient bioprocess development and control, yet parameter estimation remains a critical challenge in model calibration. As model complexity increases, the number of parameters grows and their values become highly system‐specific due to biological variability ...
Han Bit Kim +4 more
wiley +1 more source
High-Contrast Random Composites: Homogenisation Framework and Spectral Convergence. [PDF]
Cherdantsev M +2 more
europepmc +1 more source
Evidence for adaptive explanations of semelparity in animals
ABSTRACT Semelparity, the reproductive strategy of reproducing once, is widespread but uncommon in animals. Classes of models to explain the evolution of semelparity are based either on age structure and mortality schedules – demographic models in which high post‐reproductive mortality risk favours high reproductive effort and semelparity results from ...
Diana O. Fisher +1 more
wiley +1 more source

