Results 91 to 100 of about 5,561 (210)

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

International 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, Junpei Komiyama, Shunya Noda   +2 more
wiley   +1 more source

Passivity Analysis and Passive Control for T-S Fuzzy Systems with Leakage Delay and Mixed Time-Varying Delays

Abstract and Applied Analysis, 2013
The passivity and passification for Takagi-Sugeno (T-S) fuzzy systems with leakage delay and both discrete and distributed time-varying delays are investigated.
Ting Lei, Zengshun Chen, Qiankun Song, Zhenjiang Zhao   +3 more
doaj   +1 more source

Relative Arbitrage Opportunities With Interactions Among N Investors

Mathematical Finance, EarlyView.
ABSTRACT The relative arbitrage portfolio outperforms a benchmark portfolio over a given time‐horizon with probability one. With market price of risk processes depending on the market portfolio and investors, this paper analyzes the multi‐agent optimization of relative arbitrage opportunities in the coupled system of market and wealth dynamics.
Tomoyuki Ichiba, Nicole Tianjiao Yang
wiley   +1 more source

Safe Stabilization Using Non‐Smooth Control Lyapunov Barrier Function

International Journal of Robust and Nonlinear Control, Volume 36, Issue 11, Page 5823-5835, 25 July 2026.
ABSTRACT This paper addresses the challenge of safe stabilization, ensuring the system state reaches the origin while avoiding unsafe state regions. Existing approaches that rely on smooth Lyapunov barrier functions often fail to guarantee a feasible controller. To overcome this limitation, we introduce the non‐smooth control Lyapunov barrier function (
Jianglin Lan, Eldert van Henten, Peter Groot Koerkamp, Congcong Sun   +3 more
wiley   +1 more source

Consensus of Nonlinear Complex Systems with Edge Betweenness Centrality Measure under Time-Varying Sampled-Data Protocol

The Scientific World Journal, 2015
This paper proposes a new consensus criterion for nonlinear complex systems with edge betweenness centrality measure. By construction of a suitable Lyapunov-Krasovskii functional, the consensus criterion for such systems is established in terms of linear
M. J. Park, O. M. Kwon, E. J. Cha
doaj   +1 more source

Measured‐State Conditioned Recursive Feasibility for Stochastic Model Predictive Control

International Journal of Robust and Nonlinear Control, Volume 36, Issue 11, Page 5964-5981, 25 July 2026.
ABSTRACT In this paper, we address the problem of designing stochastic model predictive control (SMPC) schemes for linear systems affected by unbounded disturbances. The contribution of the paper is rooted in a measured‐state initialization strategy. First, due to the nonzero probability of violating chance‐constraints in the case of unbounded noise ...
Mirko Fiacchini, Martina Mammarella, Fabrizio Dabbene   +2 more
wiley   +1 more source

Hydrogen to Power: Exploring Current Developments and Future Challenges

Natural Sciences, Volume 6, Issue 3, July 2026.
As the interest in low‐carbon energy systems grows, hydrogen continues to attract attention as a flexible energy carrier for power applications. Developments in hydrogen production, storage, transport, and utilization are explored. In addition, the deployment challenges of hydrogen energy vector related to economics, infrastructure, safety, and ...
Md. Shafiullah, Muhammad Ahmad, Youssef Awda, M. Maaruf, Muaiz O. Ali, Khalid A. AlShumayri, Syed M. Rahman   +6 more
wiley   +1 more source

Machine Learning‐Based Loan Approval Automation: Enhancing Efficiency, Accuracy and Fairness in Credit Decision‐Making

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani, Hellen Amimo Otieno, Mishanil Kazreen, Stavros Shiaeles   +3 more
wiley   +1 more source

Deep Dark Futures: Foresighting Human Impacts on Mesopelagic Ecosystem Services

Fish and Fisheries, Volume 27, Issue 4, Page 876-894, July 2026.
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, Alistair J. Hobday, Rowan Trebilco, Heidi Pethybridge, Ingrid van Putten, Katherine Baker, Karen Evans, David Green, Eriko Hoshino, Haris Kunnath, Clothilde Langlais, Tim P. Lynch, Javier Porobic, Tyler Rohr, Elizabeth H. Shadwick, Caroline A. Sutton, Jodie Van de Kamp, Briannyn Woods, Bowen Zhang   +18 more
wiley   +1 more source

Sign-changing Lyapunov functions in linear extensions of dynamical systems

Annales Universitatis Paedagogicae Cracoviensis: Studia Mathematica, 2008
In this note we consider sets of linear extensions of dynamical systems on a torus. We examine regularity of the systems by means of a given sign-changing Lyapunov function.
Victor Kulik, Ewa Tkocz-Piszczek
doaj