Results 141 to 150 of about 92,845 (311)
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
Stability analysis of discrete-time switched systems: a switched homogeneous Lyapunov function method [PDF]
Xingwen Liu, Xudong Zhao
openalex +1 more source
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
Multiple Lyapunov functions approach to observer-basedH∞control for switched systems
Lili Li, Jun Zhao, Georgi M. Dimirovski
openalex +2 more sources
Black-box stability analysis of hybrid systems with sample-based multiple Lyapunov functions [PDF]
Adrien Banse +2 more
openalex +1 more source
Deep Dark Futures: Foresighting Human Impacts on Mesopelagic Ecosystem Services
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
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
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

