Results 71 to 80 of about 15,699 (303)

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Analisa Peralihan Deviasi Frekuensi Sistem Kendali Frekuensi Tenaga Listrik dengan Metoda Kendali Optimal

Jurnal Rekayasa Elektrika, 2016
This journal discusses about the analysis of frequency transition deviation of power frequency control system with Optimal control methods. The response of frequency transition deviation of power frequency control system is one of indicator in the ...
Heru Dibyo Laksono
doaj   +1 more source

SuFEx‐Enabled Reprogramming of Flavonoids for Selective α‐Glucosidase Covalent Inhibition

Advanced Science, EarlyView.
Selective inhibition of intestinal α‐glucosidase remains limited by poor enzyme specificity and off‐target metabolic effects. Here, SuFEx click chemistry is used to reprogram natural flavonoids into covalent inhibitors with enhanced α‐glucosidase selectivity and controlled reactivity. This strategy enables effective regulation of carbohydrate digestion
Fengyu Guo, Liwei Zhang, Minlong Wang, Yanjin Du, Tianyu Zhang, Hao Chen, Jiazeng Sun, Yang Yu, Zude He, Jie An, Xiaoxu Zhang, Weilin Lin, Fazheng Ren, Pengjie Wang, Ping Liu   +14 more
wiley   +1 more source

UNCERTAIN MODEL OF REACTOR IN PROCESS OF PRODUCTION GREASE ON SOAP THICKENERS

Вісник Національного технічного університету України «Київський політехнічний інститут імені Ігоря Сікорського»: Серія «Хімічна інженерія, екологія та ресурсозбереження», 2017
In this article consider the problem of guaranteed quality controlled processes with uncertain parameters of the functional components of management, set interval or fuzzy way.
Антон Петрович Коротинський, Михайло Володимирович Коржик   +1 more
doaj   +1 more source

Intramolecular Interactions between Folded and Disordered Regions Shape Ubiquilin Structure and Function

Advanced Science, EarlyView.
Ubiquilin (UBQLN), like many other human proteins, contains both well‐folded and disordered regions. Here, we show that intramolecular interactions between disordered regions and folded domains modulate between open and closed topologies of UBQLN proteins, altering their structure and function.
Jessica K. Niblo, Nirbhik Acharya, Maxwell B. Watkins, Carlos A. Castañeda, Shahar Sukenik   +4 more
wiley   +1 more source

OPTIMAL CONTROL OF PARTIALLY OBSERVABLE LINEAR QUADRATIC SYSTEMS WITH ASYMMETRIC OBSERVATION ERRORS [PDF]

This paper deals with the optimal quadratic control problem for non-Gaussian discrete-time stochastic systems. Our main result gives explicit solutions for the optimal quadratic control problem for partially observable dynamic linear systems with ...
Rosario Romera
core  

Optimal Control for Single Inverted Pendulum Based on Linear Quadratic Regulator

MATEC Web of Conferences, 2016
This paper mainly analyzes the structure and mathematic model of the single rotation inverted pendulum, and presents a state expression. It analyzes controllability and substantial of the system with Matlab, and designs optional control.
Cheng Huan Xin, Chen Jun Xi, Li Jing, Cheng Li   +3 more
doaj   +1 more source

Structured Policy Iteration for Linear Quadratic Regulator

CoRR, 2020
Linear quadratic regulator (LQR) is one of the most popular frameworks to tackle continuous Markov decision process tasks. With its fundamental theory and tractable optimal policy, LQR has been revisited and analyzed in recent years, in terms of reinforcement learning scenarios such as the model-free or model-based setting.
Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu 0013, Handong Zhao   +4 more
openaire   +3 more sources

Accurately Deciphering Tissue Heterogeneity From Spatial Multi‐Modal and Multi‐Omics With STransformer

Advanced Science, EarlyView.
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li, Jialuo Xu, Gaoyuan Du, Xiangting Jia, Dongmin Zhao, Chunyan Zhou, Kexin Xiao, Jia Gu, Junnan Zhu, Xuequn Shang   +9 more
wiley   +1 more source

Robust Linear Quadratic Regulator: Exact Tractable Reformulation

, 2019
We consider the problem of controlling an unknown stochastic linear dynamical system subject to an infinitehorizon discounted quadratic cost. Existing approaches for handling the corresponding robust optimal control problem resort to either conservative ...
Tyler Summers, Summers, Tyler, Wouter Jongeneel, Jongeneel, Wouter (author), Mohajerin Esfahani, P., Mohajerin Esfahani, P. (author), Peyman Mohajerin Esfahani, Jongeneel, Wouter, Summers, Tyler (author)   +8 more
core   +1 more source