Results 111 to 120 of about 2,053,633 (282)
Convergence of solutions of an impulsive differential system with a piecewise constant argument
Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics, 2017 We prove the existence and uniqueness of the solutions of an impulsive digerential system with a piecewise constant argument. Moreover, we obtain sufficient conditions for the convergence of these solutions and then prove that the limits of the solutions can be calculated by a ...
openaire +2 more sources
Dynamics of a harvested logistic type model with delay and piecewise constant argument
, 2020 In this paper, a harvested logistic equation with delay and piecewise constant argument of generalized type is addressed. Both discrete and piecewise constant delays are incorporated into the logistic equation for investigation. Existence, boundedness of
Arugaslan, Duygu
core
Learning regime‐dependent governing equations: A symbolic decision tree approach
AIChE Journal, EarlyView.Abstract Many chemical engineering systems are governed by mechanisms that switch across operating regimes, making the data‐driven discovery of regime‐dependent governing equations essential for predictive modeling, optimization, and control. We propose symbolic decision trees for the data‐driven discovery of regime‐dependent governing equations.
Ilias Mitrai +2 more
wiley +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Neural networks with piecewise constant argument and impact activation
, 2011 This dissertation addresses the new models in mathematical neuroscience: artificial neural networks, which have many similarities with the structure of human brain and the functions of cells by electronic circuits. The networks have been investigated due
ENES YILMAZ
core
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
, 2010 We study the existence of oscillatory and periodic solutions of a class of first order scalar impulsive delay differential equations with piecewise constant ...
Karakoc, Fatma +2 more
core +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
From Swarm to Individual: Emergent Individuality in Light‐Mediated Robot Collectives
Advanced Intelligent Systems, EarlyView.Can individuality emerge from a swarm? Using nominally homogeneous phototactic robots, we show that collective light conditions reorganize robot‐level behavioral profiles. Global illumination amplifies persistent differences in state occupancy, while robot‐mounted local light cues reduce fixed differentiation and favor transient high‐switching profiles.
John Smith +4 more
wiley +1 more source