Results 81 to 90 of about 177,002 (308)

Event-triggered self-regulating integrated PID extreme optimization and fault-tolerant strategy for floating offshore platforms driven by TBG-EDF dual finite-time learning mechanism.

PLoS ONE
Floating offshore platforms (FOPs) face the challenge of anchor chain failures due to their unique operating environments. This directly impacts the platform's safety and stability.
Chengliang Chao, Yang Liu, Zongkai Wang
doaj   +1 more source

Adaptive Finite-Time-Based Neural Optimal Control of Time-Delayed Wheeled Mobile Robotics Systems

Sensors
For nonlinear systems with uncertain state time delays, an adaptive neural optimal tracking control method based on finite time is designed. With the help of the appropriate LKFs, the time-delay problem is handled.
Shu Li, Tao Ren, Liang Ding, Lei Liu
doaj   +1 more source

Convergence and asymptotic variance of bootstrapped finite-time ruin probabilities with partly shifted risk processes. [PDF]

The classical risk model is considered and a sensitivity analysis of finite-time ruin probabilities is carried out. We prove the weak convergence of a sequence of empirical finite-time ruin probabilities.
Stéphane Loisel, Christian Mazza, Didier Rullière   +2 more
core  

Modelling metallic discontinuities with the non-orthogonal finite difference time domain method

, 2004
Numerical electromagnetic models, such as the finite difference time domain (FDTD) method, have many applications. The authors focus on the non-orthogonal FDTD method, which offers an improved geometric flexibility compared to other standard techniques ...
Nilavalan, R, Railton, CJ, Craddock, IJ
core   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Robustness analysis and convergence of empirical finite-time ruin probabilities and estimation risk solvency margin. [PDF]

We consider the classical risk model and carry out a sensitivity and robustness analysis of finite-time ruin probabilities. We provide algorithms to compute the related influence functions.
Stéphane Loisel, Christian Mazza, Didier Rullière   +2 more
core  

Finite-Time Convergence Guarantees for Time-Parallel Methods

CoRR
20 pages, 3 ...
Giancarlo Antonino Antonucci, Raphael Andreas Hauser, Debasmita Samaddar, James Buchanan   +3 more
openaire   +2 more sources

Orbital Geometry‐Governed Response of Pressure‐Tunable Quantum Defects in hBN

Advanced Functional Materials, EarlyView.
Defects in hBN act as ultrasensitive quantum manometers when the energy of the intradefect optical transitions is modified by lattice compression. The orbital geometry of the electron wave functions governs how electron hopping and Coulomb interactions react uniquely to the reduction of the van der Waals gap and in‐plane compression, leading to robust ...
Magdalena Grzeszczyk, Danis I. Badrtdinov, Kenji Watanabe, Takashi Taniguchi, Cyrus E. Dreyer, Malte Rösner, Maciej Koperski   +6 more
wiley   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Finite-Time Leader–Follower Tracking Control of Multiple Euler–Lagrange Systems via Sliding Mode Under Switching Topologies

IEEE Access
The problem of finite-time cooperative tracking is investigated for a class of heterogeneous Euler–Lagrange (EL) agents interconnected through time-varying switching directed networks and subject to exogenous disturbances.
Yu Wang, Xiaoyu Zhang
doaj   +1 more source