Results 91 to 100 of about 94,126,272 (260)

Input-to-state stability of distributed parameter systems

, 2023
Input-to-state stability (ISS) allows estimating the impact of inputs and initial conditions on both the intermediate values and the asymptotic bound on the solutions.
Mironchenko, Andrii
core  

Probabilistic Computing via Gate‐Tunable Random Telegraph Noise

Advanced Science, EarlyView.
Intrinsic random telegraph noise in metal–oxide–semiconductor field‐effect transistors is harnessed to create gate‐tunable probabilistic bits. By modulating carrier‐trapping dynamics, the device produces stochastic binary outputs with a continuous bias‐to‐probability transfer.
Gyungwon Yun, Jin Pyo Kang, Ho‐Sung Lee, Ik‐Hyeon Jeon, Ki‐Ju Park, Won‐Ju Cho, Seung‐heon Chris Baek, Joo‐Hyung Chae, Hamin Park   +8 more
wiley   +1 more source

Nonuniform in Time Input-to-State Stability and the Small-Gain Theorem

, 2004
—For time-varying control systems various equiva-lent characterizations of the nonuniform in time input-to-state stability (ISS) property are established.
Tsinias, J, Karafyllis, I, Iasson Karafyllis, J. Tsinias   +3 more
core   +1 more source

A Real‐Data‐Driven Framework for Evaluating Differential Transcript Usage Methods Across Long‐Read Bulk, Single‐Cell, and Spatial Transcriptomics

Advanced Science, EarlyView.
Grounded in real biological RNA‐seq data, the framework benchmarks ten differential transcript usage (DTU) methods across short‐read bulk, long‐read bulk, long‐read single‐cell, and long‐read spatial transcriptomics. By integrating reference transcript sets with ranked DTU results, the Transcript Set Enrichment Score (TSES) identifies data‐type ...
Chenxing Zhang, Jun Liu, Qi Zhao, Huilong Yin, Angang Yang, Minhua Zheng, Rui Zhang   +6 more
wiley   +1 more source

Mathematically Grounded Neuro-Fuzzy Control of IoT-Enabled Irrigation Systems

Mathematics
This paper develops a mathematically grounded neuro-fuzzy control framework for IoT-enabled irrigation systems in precision agriculture. A discrete-time, physically motivated model of soil moisture is formulated to capture the nonlinear water dynamics ...
Nikolay Hinov, Reni Kabakchieva, Daniela Gotseva, Plamen Stanchev   +3 more
doaj   +1 more source

Bio‐Inspired Gradient Heterogeneous Architectures for Ultrasensitive and Robust Strain Sensors via Programmable Crack Engineering

Advanced Science, EarlyView.
Inspired by the insect campaniform sensillum, a heterogeneous bilayer strain sensor is developed based on a unique impedance mismatch and three‐dimensional structural dynamic percolation strategy. The sensor enables real‐time multi‐joint teleoperation of three joints and the gripper using a six‐degree‐of‐freedom robotic‐arm platform.
Qi Wu, Tiantong Wang, Yinhao Wang, Yanggang Feng, Yan Huang   +4 more
wiley   +1 more source

Separation Principles for Input-Output and Integral-Input-to-State Stability

, 2004
We present new characterizations of input-output-to-state stability. This is a notion of detectability formulated in the ISS (input-to-state stability) framework.
E. D. Sontag, B. Ingalls, D. Angeli, Y. Wang   +3 more
core  

Adaptive Virtual Inertia and Voltage Estimation: Enabled Model Predictive Control for Improved Performance in Islanded DC Microgrids

IEEE Access
The low inertia of voltage estimation degrades system performance in islanded DC microgrids (DC MGs). To mitigate this issue, we propose an Adaptive Virtual Inertia and Voltage Estimation with Model Predictive Control (AVIE-MPC) approach, which enhances ...
Salisu Abdullahi, Khaled Eltag, Lei Weining, Chen Xiaohu   +3 more
doaj   +1 more source

LAPTM5 Downregulation‐Driven VAMP8 Phosphorylation Impairs Autophagosome‐Lysosome Fusion and Aggravates Septic Acute Lung Injury

Advanced Science, EarlyView.
LAPTM5 functions as a critical molecular scaffold bridging PGAM5 and VAMP to facilitate PGAM5‐mediated dephosphorylation of VAMP8. This cascade promotes autophagosome‐lysosome fusion, restores impaired autophagic flux, and clears damaged mitochondria, thereby mitigating cellular oxidative stress and systemic inflammation.
Lang Jiang, Qilan Li, Hao Liu, Xuehui Gao, Hongyu Nie, Lang Chen, Mei He, Xuefeng Li, Xiangming Fang, Jiqian Xu, Hao Zhang, Jiahong Xia, You Shang   +12 more
wiley   +1 more source

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

Advanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo, Yunwen Wu, Yuhui Guo, Shenghong Ju   +3 more
wiley   +1 more source