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作者： Pavel SHCHERBAKOV Ming YUCHI Institute of Control Sciences RAS Federal Research Center "Computer Science and Control " ISA RAS Huazhong University of Science and Technology Department of Biomedical Engineering

We consider stable linear scalar systems described by homogenous difference equations with nonzero initial conditions. We show that, at finite time instants, solutions can deviate far from the equilibrium. For classes of root locations and initial conditions, closed-form estimates are obtained for the magnitude of deviations and the instant of the maximum deviation. Simple conditions on the presence of deviations are formulated and the issues are discussed of how typical are these effects.

关键词： Linear discrete-time systems Stability Nonzero initial conditions Peaks Deviations

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Computational fluid dynamic and machine learning modeling of nanofluid flow for determination of temperature distribution and models comparison

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Scientific Reports 2025年第1期15卷 1-9页

作者： Altalbawy, Farag M. A. Alkhayyat, Ahmad Jhala, Ramdevsinh Yadav, Anupam Ramachandran, T. Shankhyan, Aman Karthikeyan, A. Thatoi, Dhirendra Nath Sinitsin, Vladimir Vladimirovich Department of Chemistry University College of Duba University of Tabuk Tabuk Saudi Arabia Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Computers Techniques Engineering College of Technical Engineering The Islamic University of Al Diwaniyah Al Diwaniyah Iraq Department of Computers Techniques Engineering College of Technical Engineering The Islamic University of Babylon Babylon Iraq Marwadi University Research Center Department of Mechanical Engineering Faculty of Engineering & Technology Marwadi University Gujarat Rajkot 360003 India Department of Computer Engineering and Application GLA University Mathura 281406 India Department of Mechanical Engineering School of Engineering and Technology JAIN (Deemed to be University) Karnataka Bangalore India Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura 140401 India Department of Mechanical Engineering Sathyabama Institute of Science and Technology Tamil Nadu Chennai India Department of Mechanical Engineering Siksha ’O’ Anusandhan (Deemed to be University) Odisha Bhubaneswar 751030 India Research Laboratory of Technical Self-Diagnostics and Self-Control of Devices and Systems Department of Scientific and Innovative Activities Research Institute of Mechanical Engineering South Ural State University Lenin prospect 76 Chelyabinsk 454080 Russian Federation

This paper introduces an approach to temperature prediction by employing three distinct machine learning models: K-Nearest Neighbors (KNN), Gaussian Process Regression (GPR), and Multi-layer Perceptron (MLP) which are integrated into Computational Fluid Dynamics (CFD). The dataset consists of inputs, represented by the features x and y, and the corresponding output, which is the temperature. The case study is fluid flow of nanofluid through a pipe and the nanofluid contains CuO particles. To enhance model efficacy, the Political Optimizer (PO) algorithm was utilized for fine-tuning purposes. The findings substantiate the capability of the optimized frameworks in delivering precise temperature estimations. GPR yielded a notable R² value of 0.998, reflecting a strong concordance between the estimated and actual measurements. In a comparable manner, the KNN approach exhibited outstanding predictive performance, also attaining an R² value of 0.998. MLP, although slightly lower in performance compared to the other models, still proves to be a reliable predictor of temperature values, with an R-squared score of 0.984. Overall, the combination of the PO algorithm and the machine learning models showcases promising results in temperature prediction. The study’s findings offer valuable insights for decision-making processes in a variety of domains that rely on accurate temperature forecasting. © The Author(s) 2025.

关键词： Gaussian process regression Heat transfer K-Nearest neighbors Multi-layer perceptron Nanofluid

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Correction to: Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth‑order nonlinear system of Emden–Fowler model

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engineering with computers 2022年第4期38卷 2993-2993页

作者： Sabir, Zulqurnain Ali, Mohamed R. Raja, Muhammad Asif Zahoor Shoaib, Muhammad Núñez, Rafaél Artidoro Sandoval Sadat, R. Department of Mathematics and Statistics Hazara University Mansehra Pakistan Faculty of Engineering and Technology Future University Cairo Egypt Department of Basic Science Faculty of Engineering at Benha Benha University Benha Egypt Future Technology Research Center National Yunlin University of Science and Technology Douliou Taiwan ROC Department of Electrical and Computer Engineering COMSATS University Islamabad Attock Pakistan Department of Mathematics COMSATS University Islamabad Attock Pakistan Department of General Studies National Autonomous University of Chota Chota Peru Department of Physics and Engineering Mathematics Faculty of Engineering Zagazig University Zagazig Egypt

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A Spatially Programmable DNA Nanorobot Arm to Modulate Anisotropic Gold Nanoparticle Assembly by Enzymatic Excision

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Angewandte Chemie 2023年第43期135卷

作者： Prof. Jing Yang Yuan Liang Xiang Li Yongpeng Zhang Prof. Long Qian Prof. Yonggang Ke Prof. Cheng Zhang School of Computer Science Key Lab of High Confidence Software Technologies Peking University Beijing 100871 China School of Control and Computer Engineering North China Electric Power University Beijing 102206 China Center for Quantitative Biology Peking University Beijing 100871 China Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory University Emory University School of Medicine Atlanta GA 30322 USA Department of Chemistry Emory University Atlanta GA 30322 USA

Programmable assembly of gold nanoparticle superstructures with precise spatial arrangement has drawn much attention for their unique characteristics in plasmonics and biomedicine. Bio-inspired methods have already provided programmable, molecular approaches to direct AuNP assemblies using biopolymers. The existing methods, however, predominantly use DNA as scaffolds to directly guide the AuNP interactions to produce intended superstructures. New paradigms for regulating AuNP assembly will greatly enrich the toolbox for DNA-directed AuNP manipulation and fabrication. Here, we developed a strategy of using a spatially programmable enzymatic nanorobot arm to modulate anisotropic DNA surface modifications and assembly of AuNPs. Through spatial controls of the proximity of the reactants, the locations of the modifications were precisely regulated. We demonstrated the control of the modifications on a single 15 nm AuNP, as well as on a rectangular DNA origami platform, to direct unique anisotropic AuNP assemblies. This method adds an alternative enzymatic manipulation to DNA-directed AuNP superstructure assembly.

关键词： AuNPs Assembly DNA Origami Enzymatic Excision Reactions Molecular Spatial Programmability Nanorobot

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An optimized energy management strategy for fuel cell hybrid vehicles 6

An optimized energy management strategy for fuel cell hybrid...

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2019 6th International Conference on Advanced Composite Materials and Manufacturing engineering, ACMME 2019

作者： Xiao, Wenxin Wang, Lei Liu, Dongyin Zhang, Wenwen Chinese-German College Tongji University Shanghai China Department of Electrical and Computer Engineering Technische Universität München Munich Germany Research Center of Control Science and Intelligent System University of Electronic Science and Technology of China Chengdu China College of Electronics and Information Engineering Tongji University Shanghai China

Fuel cell hybrid vehicles are environmentally friendly and have good development prospects. Their energy management is very important, but there are currently few studies on this topic. In this paper, an optimized energy management strategy specifically applied to fuel cell hybrid vehicles is proposed. Fuel cell hybrid vehicles have some different characteristics from ordinary hybrid vehicles, which need to be considered in energy management. For the fuel cell to remain activated during driving, its output power must remain above a minimum power. In addition, it takes some time for the fuel cell to start up. These characteristics are considered in the vehicle model. The energy management strategy proposed in this paper maximizes energy use efficiency by controlling the SOC value of the battery. The SOC value of the battery is in the proper range during driving. At high speeds, fuel is consumed as a source of energy and the battery is charged to keep its SOC at a high level. When approaching the destination or when the vehicle is traveling at a low speed, the battery is discharged to reduce fuel consumption. Applying this strategy to the ECE-15 and EUDCL environments, the simulation results show that this optimized energy management strategy improves the energy efficiency of the fuel cell and enables the battery to operate at the appropriate power. © Published under licence by IOP Publishing Ltd.

关键词： Fuel cells

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Constructing Epidermal Rete Ridges Using Composite Hydrogel to Enhance Multiple Signaling Pathways for the Maintenance of Epidermal Stem Cell Niche

SSRN

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SSRN 2023年

作者： Shen, Zhizhong Liu, Zixian Sun, Lei Li, Meng Han, Lu Wang, Jianming Wu, Xunwei Sang, Shengbo Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Information and Computer Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System the Ministry of Education Taiyuan University of Technology Taiyuan030024 China Shanxi Research Institute of 6D Artificial Intelligence Biomedical Science Taiyuan030031 China General Hospital of TISCO North Street Xinghualing District Taiyuan030809 China Engineering Laboratory for Biomaterials and Tissue Regeneration Ningbo Stomatology Hospital Savaid Stomatology School Hangzhou Medical College Ningbo China Department of Tissue Engineering and Regeneration School and Hospital of Stomatology Cheeloo College of Medicine Shandong University Shandong Key Laboratory of Oral Tissue Regeneration Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration Shandong Jinan China Cutaneous Biology Research Center Massachusetts General Hospital Harvard Medical School BostonMA United States

The undulating microstructure rete ridge (RR) located at the junction between the dermis and epidermis plays a crucial role in improving skin mechanical properties and maintaining skin homeostasis. However, the investigation of RR microstructures are usually neglected in current tissue engineering for skin regeneration. Here, to create an epidermal model with RR microstructures, keratinocytes were inoculated onto a patterned GelMA-PEGDA hydrogel constructed using molding technology. Furthermore, grafting acryloylated Arg-Gly-Asp (RGD) peptides on the hydrogel surface significantly improved cell adhesion, fusion, and development. RT-PCR, Western blot, and immunofluorescence staining confirmed that cells on RR microstructures exhibited higher gene and protein expression associated with epidermal stem cells. RNA sequencing analysis of cells on RR microstructure showed higher gene expression profiles related to stem cell maintenance, basement membrane formation, and epidermal development. Furthermore, RT-PCR analysis of epidermal models of various dimensions demonstrated that smaller microstructures were more conducive to epidermal stem cell marker gene expression, which is analogous to human skin. Overall, we have successfully developed a method for integrating RR microstructures into an epidermal model that mimics natural skin to maintain epidermal stem cell niche, providing a valuable reference for researching skin regeneration within the fields of tissue engineering and regenerative medicine. © 2023, The Authors. All rights reserved.

关键词： Microstructure

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Regular path-constrained time-optimal control problems in three-dimensional flow fields

arXiv

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arXiv 2019年

作者： Chertovskih, R. Karamzin, D. Khalil, N.T. Pereira, F.L. Electrical and Computer Engineering Department Faculty of Engineering University of Porto 4200-465 Portugal Federal Research Center "Computer Science and Control" Russian Academy of Science Moscow Russia

This article concerns a class of time-optimal state constrained control problems with dynamics defined by an ordinary differential equation involving a three-dimensional steady flow vector field. The problem is solved via an indirect method based on the maximum principle in Gamkrelidze's form. The proposed computational method essentially uses a certain regularity condition imposed on the data of the problem. The property of regularity guarantees the continuity of the measure multiplier associated with the state constraint, and ensures the appropriate behavior of the corresponding numerical procedure which, in general, consists in computing the entire field of extremals for the problem in question. Several examples of vector fields are considered to illustrate the computational *** Codes 49K15, 49M05 Copyright © 2019, The Authors. All rights reserved.

关键词： Maximum principle

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Comparison of adsorption of seven ionic organic pollutants on polystyrene and poly(butylene adipate- co -terephthalate) microplastics: UV aging mechanism and role of charge-assisted hydrogen bond

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Separation and Purification Technology 2025年 376卷

作者： Kangkang Wang Yuli Kou Kefu Wang Changyan Guo Xiaorui Liang Meng Wang Jiang Li Siqi Liang Wei Wang Jide Wang Xinjiang Key Laboratory of Oil and Gas Fine Chemicals School of Chemical Engineering and Technology Xinjiang University Urumqi 830046 China State Key Laboratory of Heavy Oil Processing at Karamay China University of Petroleum-Beijing at Karamay Karamay Xinjiang 834000 China College of Life Science and Technology Xinjiang University Urumqi Xinjiang 830046 China Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention Urumqi Xinjiang 830002 China Department of Chemistry University of Bergen Bergen 5007 Norway Center for Pharamcy University of Bergen Bergen 5020 Norway

Degradable plastics are considered a sustainable approach to mitigating plastic pollution. However, under harsh degradation conditions, they form microplastics (MPs), posing pollutant-carrier risks akin to non-degradable MPs. Currently, systematic research comparing the adsorption behaviors of these MPs toward ionic organic pollutants remains limited. In this study, a simulated UV aging was employed to compare the adsorption behavior of non-degradable polystyrene (PS) and degradable poly(butylene adipate-co-terephthalate) (PBAT) MPs toward seven ionic pollutants. Two-dimensional correlation spectroscopy (2D-COS) combined with Fourier transform infrared spectroscopy (FTIR) analysis indicates that the ester groups in PBAT molecular chains preferentially undergo cleavage under UV irradiation, significantly enhancing the hydrogen bond (HB) donor capability of its surface carboxyl (–COOH) groups. Results showed that aged PBAT (A-PBAT) exhibited remarkable adsorption capacities of 23.13, 21.63, and 19.66 mg·g −1 , respectively, for the cationic pollutants crystal violet (CV), rhodamine B (RhB), and malachite green (MG). Mechanistic investigations indicate that charge-assisted HB (CAHB, [COO−H···N] + ) between carboxylic groups and the quaternary ammonium moieties of these pollutants primarily drives adsorption. Although electrostatic interactions and ordinary HB also contribute, the stronger HB and CAHB in A-PBAT explain its higher capacity than aged PS (A-PS). Binary competitive adsorption further demonstrates that cationic pollutants capable of forming strong CAHB with A-PBAT dominate the adsorption process. The p K a scale rule theory confirms that the Δp K a between donor and acceptor effectively evaluates the adsorption capacity of A-PBAT toward cationic pollutants. These findings provide new insights for comprehensively assessing the environmental risks of MPs.

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Pattern Prediction in Networks of Diffusively Coupled Nonlinear Systems

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IFAC-PapersOnLine 2018年第33期51卷 62-67页

作者： Rogov, K. Pogromsky, A. Steur, E. Michiels, W. Nijmeijer, H. Department of Mechanical Engineering Eindhoven University of Technology Netherlands Delft Center for Systems and Control Delft University of Technology Netherlands Department of Computer Science Catholic University of Leuven Belgium

In this paper, we present a method aiming at pattern prediction in networks of diffusively coupled nonlinear systems. Interconnecting several globally asymptotical stable systems into a network via diffusion can result in diffusion-driven instability phenomena, which may lead to pattern formation in coupled systems. Some of the patterns may co-exist which implies the multi-stability of the network. Multi-stability makes the application of common analysis methods, such as the direct Lyapunov method, highly involved. We develop a numerically efficient method in order to analyze the oscillatory behavior occurring in such networks. We show that the oscillations appear via a Hopf bifurcation and therefore display sinusoidal-like behavior in the neighborhood of the bifurcation point. This allows to use the describing function method in order to replace a nonlinearity by its linear approximation and then to analyze the system of linear equations by means of the multivariable harmonic balance method. The method cannot be directly applied to a network consisting of systems of any structure and here we present the multivariable harmonic balance method for networks with a general system's structure and dynamics. © 2018

关键词： Complex networks Hopf bifurcation Lyapunov methods Nonlinear systems Complex dynamical networks Coupled nonlinear systems Describing function methods Diffusion driven instability Harmonic Balance method In networks System of linear equations Theory

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Customized quantum annealing schedules

arXiv

引用

arXiv 2021年

作者： Khezri, Mostafa Dai, Xi Yang, Rui Albash, Tameem Lupascu, Adrian Lidar, Daniel A. Department of Electrical Engineering University of Southern California Los AngelesCA90089 United States Center for Quantum Information Science & Technology University of Southern California Los AngelesCA90089 United States Department of Physics and Astronomy University of Waterloo WaterlooON Canada Institute for Quantum Computing University of Waterloo WaterlooON Canada Department of Electrical and Computer Engineering University of New Mexico AlbuquerqueNM87131 United States Center for Quantum Information and Control CQuIC University of New Mexico AlbuquerqueNM87131 United States Department of Chemistry University of Southern California Los AngelesCA90089 United States Department of Physics University of Southern California Los AngelesCA90089 United States

In a typical quantum annealing protocol, the system starts with a transverse field Hamiltonian which is gradually turned off and replaced by a longitudinal Ising Hamiltonian. The ground state of the Ising Hamiltonian encodes the solution to the computational problem of interest, and the state overlap with this ground state gives the success probability of the annealing protocol. The form of the annealing schedule can have a significant impact on the ground state overlap at the end of the anneal, so precise control over these annealing schedules can be a powerful tool for increasing success probabilities of annealing protocols. Here we show how superconducting circuits, in particular capacitively shunted flux qubits (CSFQs), can be used to construct quantum annealing systems by providing tools for mapping circuit flux biases to Pauli coefficients. We use this mapping to find customized annealing schedules: appropriate circuit control biases that yield a desired annealing schedule, while accounting for the physical limitations of the circuitry. We then provide examples and proposals that utilize this capability to improve quantum annealing performance. Copyright © 2021, The Authors. All rights reserved.

关键词： Annealing

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