Results 141 to 150 of about 92,845 (311)

Fault‐Tolerant Fuzzy Boundary Control for Nonlinear Distributed Parameter Systems Under Limited Measurements and Markovian Failures

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li   +5 more
wiley   +1 more source

TD3 Deep Reinforcement Learning Control Approach for a DC‐DC Multiport Converter Used in Low‐Power EV Applications

open access: yesIET Smart Energy Systems, EarlyView.
A TD3‐based deep reinforcement learning controller is developed for a multiport converter in low‐power EV applications. The data‐driven, model‐free strategy improves dynamic performance under constant power load destabilisations and demonstrates advanced intelligent control suited for next‐generation smart and integrated energy systems.
Amirhossein Hosseini   +2 more
wiley   +1 more source

Deep Dark Futures: Foresighting Human Impacts on Mesopelagic Ecosystem Services

open access: yesFish and Fisheries, EarlyView.
This study uses foresighting to explore four plausible future scenarios of human activity affecting mesopelagic ecosystem services; provisioning, regulating, supporting and cultural. Using participatory scenario development, qualitative network modelling and indicator design, we assess systemic risks and early warning signals linked to harvest, climate
Ben Scoulding   +18 more
wiley   +1 more source

Miners' Reward Elasticity and Stability of Competing Proof‐of‐Work Cryptocurrencies

open access: yesInternational Economic Review, EarlyView.
ABSTRACT Proof‐of‐Work cryptocurrencies employ miners to sustain the system through algorithmic reward adjustments. We develop a stochastic model of the multicurrency mining and identify conditions for stable transaction speeds. Bitcoin's algorithm requires hash supply elasticity <$<$1 for stability, while ASERT remains stable for any elasticity and ...
Kohei Kawaguchi   +2 more
wiley   +1 more source

On Metric Choice in Dimension Reduction for Fréchet Regression

open access: yesInternational Statistical Review, EarlyView.
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy