Results 121 to 130 of about 7,136 (240)
Bayesian Inference for Multivariate Monotone Densities
Scandinavian Journal of Statistics, Volume 53, Issue 3, Page 1206-1229, September 2026.ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
The Canadian Journal of Chemical Engineering, Volume 104, Issue 8, Page 4322-4336, August 2026.Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 8, August 2026.An integrated hybrid energy storage and cogeneration system with CE‐DPS effectively stabilizes DC bus voltage in hydrogen fuel cell marine vessels. The proposed multi‐tier control suppresses voltage fluctuations, eliminates overshoot, and improves energy efficiency, achieving 68% exergy efficiency and 15.6% fuel savings.
Jingsi Hu, Feng Chen, Zhaoliang Zang
wiley +1 more source
Engineering Reports, Volume 8, Issue 8, August 2026.A within‐host HIV model incorporating variable CD4+ T‐cell production, saturated incidence, and latent reservoirs is developed and analyzed. The study shows that viral clearance, infection rate, and burst size strongly govern disease persistence, while latent infection sustains long‐term viral rebound despite suppression of active replication ...
Ahmad Umar Abubakar +2 more
wiley +1 more source
Stochastic Reaction Networks Within Interacting Compartments with Content-Dependent Fragmentation. [PDF]
Bull Math BiolAnderson DF, Howells AS, La Luz DR.
europepmc +1 more source
Global Challenges, Volume 10, Issue 8, August 2026.A physics‐guided cyber‐physical digital twin enables real‐time state estimation, dendrite‐risk prediction, cyber‐attack detection, and resilient control of solid‐state batteries. Physics‐informed modeling and predictive control reveal hidden degradation mechanisms, providing an interpretable framework for safer, more reliable, and intelligent battery ...
Sankar Subramanian +8 more
wiley +1 more source
A Data‐Driven Closed‐Loop Control Approach to Drive Neural State Transitions for Mechanistic Insight
Human Brain Mapping, Volume 47, Issue 11, 01 August 2026.The study introduces a data‐driven framework combining dynamical systems reconstruction and closed‐loop control to analyze brain‐state transitions in remitted depression. Using fMRI data, we show that these individuals more easily enter but struggle to exit sad mood states, revealing altered connectivity and potential neuromodulation targets for ...
Niklas Emonds +8 more
wiley +1 more source
Barrier Lyapunov function-based robust adaptive neural network control with dynamically adjusted activation functions for Euler-Lagrange systems under position constraints. [PDF]
Sci RepYilmaz BM.
europepmc +1 more source