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The optimal control theory——a scientific approach to fundamentally solving control problems

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Science China(Information Sciences) 2025年第1期68卷 389-391页

作者： Huanshui ZHANG school of Electrical and Automation engineering Shandong University of Science and Technology school of Control Science and engineering Shandong University

The maximum principle has bridged mathematical optimization to optimal control,ushering in significant developments and refinements in optimal control theory,notably during the 1960s with the advent of linear quadratic (LQ)control and linear quadratic estimation (LQE).This progression propelled optimal control theory into further advancements,encompassing stochastic control,robust/H-infinity control,model predictive control (MPC),networked control,and reinforcement learning *** control,established upon a rigorous mathematical foundation,extends static optimization theory to dynamic systems,exhibiting scientific essence,unity,and ***,since its inception,optimal control theory has served as an indispensable core role across all control-related domains,including communication-constrained control in networked systems,consensus control,cooperative control,and reinforcement learning control.

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Porous framework materials for CO2 capture

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Journal of Energy Chemistry 2025年第2期101卷 278-297页

作者： Ziying Zhang Yu Dai Shiyi Zhang Liyi Chen Jian Gu Yong Wang Weiwei Sun school of Environmental and Chemical engineering Shanghai University

Due to the significant impact of carbon dioxide on global ecology,more efforts have been put into the exploration on CO2capture and *** organic framework materials,as a kind of materials with high porosity and designable structure,have been considered as effective host materials for adsorbing carbon dioxide or separating it from other *** review gives a deep insight into the applications of metal-organic frameworks,covalent-organic frameworks,and other porous frameworks on CO2capture,focusing on the enhanced capture performances originated from their high surface area with abundant porous structure,functional groups with specific heteroatoms modification,or other building unit ***,the main challenges associated with porous frameworks for CO2capture and proposed strategies to address these obstacles,including the structural design strategy or the capture mechanism exploration,have been demonstrated and *** review can contribute to further investigation on porous frameworks for gas capture and separation with enhanced performance and efficiency.

关键词： Adsorption mechanism CO2 capture Modification Organic frameworks

Near-perfect replication on amorphous alloys through active force modulation based on machine learning/neural network parameter prediction

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Science China(Physics,Mechanics & Astronomy) 2025年第1期68卷 177-187页

作者： Senkuan Meng Zheng Wang Ruisong Zhu Ruijie Liu Jiang Ma Lina Hu Weihua Wang Key Laboratory for Liquid-Solid Structural Evolution and Processing of Materials(Ministry of Education) School of Materials Science and EngineeringShandong UniversityJinan 250061China College of mechatronics and Control engineering Shenzhen UniversityShenzhen 518060China Songshan Lake Materials Laboratory Dongguan 523808China Institute of Physics Chinese Academy of SciencesBeijing 100190China

As a microforming technique,micro/nano-structural replication possesses advantages of high precision and *** the remarkable superplasticity in the supercooled liquid region,amorphous alloys or metallic glasses(MGs)are regarded as ideal materials for miniature ***,due to the intrinsic metastable nature of supercooled liquids,the design of imprinting processes for MGs poses a *** the past,process parameters have largely relied on trial-and-error *** this work,a low-frequency active force modulation system is employed to apply a stable,precise,and real-time feedback stress field for imprinting of MG ***-frequency vibrations can facilitate the filling of microstructures on the template surface by reducing the effective viscosity of the supercooled *** the dataset composed of orthogonal experiments,a machine learning strategy based on back-propagation(BP)neural networks was utilized to construct a 3D parameter space for temperature,stress,and time,and to predict the corresponding filling ***,the optimal combination of imprinting process parameters was identified,and its filling ratio was experimentally validated to reach as high as *** near-perfect replication of microstructures confirms the superiority of the active force modulation system and the data-driven strategy of machine learning-assisted parameter *** the same time,this one-step microforming process provides a new approach to addressing the accuracy-cost trade-off dilemma in precision manufacturing.

关键词： metallic glass amorphous alloy microforming imprinting machine learning

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On the interfacial behavior of a one-dimensional hexagonal piezoelectric quasicrystal film based on the beam theory

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Applied Mathematics and Mechanics(English Edition) 2025年第2期46卷 289-304页

作者： Wenkai ZHANG C.S.LU Minghao ZHAO Cuiying FAN Huayang DANG school of Mechanics and Safety engineering Zhengzhou University school of Civil and Mechanical engineering Curtin University school of Mechanical engineering Zhengzhou University

In this paper, the mechanical response of a one-dimensional (1D) hexagonal piezoelectric quasicrystal (PQC) thin film is analyzed under electric and temperature loads. Based on the Euler-Bernoulli beam theory, a theoretical model is proposed, resulting in coupled governing integral equations that account for interfacial normal and shear stresses. To numerically solve these integral equations, an expansion method using orthogonal Chebyshev polynomials is employed. The results provide insights into the interfacial stresses, axial force, as well as axial and vertical deformations of the PQC ***, fracture criteria, including stress intensity factors, mode angles, and the Jintegral, are evaluated. The solution is compared with the membrane theory, neglecting the normal stress and bending deformation. Finally, the effects of stiffness and aspect ratio on the PQC film are thoroughly discussed. This study serves as a valuable guide for controlling the mechanical response and conducting safety assessments of PQC film systems.

关键词： one-dimensional (1D) hexagonal piezoelectric quasicrystal (PQC) film beam theory electric and temperature loads Chebyshev polynomial interfacial behavior O343.1

A Multi-Condition Sequential Network Ensemble for Industrial Energy Storage Prediction Considering the Condition Switching Characteristics

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 369-380页

作者： Tianyu Wang Fan Zhou Yangjie Wu Jun Zhao Wei Wang IEEE the school of Control Science and engineering Dalian University of Technology the school of Information Science and engineering Dalian Polytechnic University

As a crucial storage and buffering apparatus for balancing the production and consumption of byproduct gases in industrial processes, accurate prediction of gas tank levels is essential for optimizing energy system scheduling. Considering that the continuous switching of the pressure and valve status(mechanism knowledge) would bring about multiple working conditions of the equipment, a multi-condition time sequential network ensembled method is proposed. In order to especially consider the time dependence of different conditions, a centralwise condition sequential network is developed, where the network branches are specially designed based on the condition switching sequences. A branch combination transfer learning strategy is developed to tackle the sample imbalance problem of different condition data. Since the condition or status data are real-time information that cannot be recognized during the prediction process, a pre-trained and ensemble learning approach is further proposed to fuse the outputs of the multi-condition networks and realize a transient-state involved prediction. The performance of the proposed method is validated on practical energy data coming from a domestic steel plant, comparing with the state-of-the-art algorithms. The results show that the proposed method can maintain a high prediction accuracy under different condition switching cases, which would provide effective guidance for the optimal scheduling of the industrial energy systems.

关键词： Ensemble learning industrial energy prediction multi-working condition structural deep network transfer learning

Constructing electrochemically stable single crystal Ni-rich cathode material via modification with high valence metal oxides

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Journal of Energy Chemistry 2025年第02期101卷 392-401页

作者： Hancheng Shi Jiongzhi Zheng Tao Wan Hongqiang Wang Zeping Wen Fenghua Zheng Mingru Su Aichun Dou Yu Zhou Ahmad Naveed Panpan Zhang Hailong Wang Ruiqiang Guo Yunjian Liu Dewei Chu school of Material Science and engineering Jiangsu University Thayer school of engineering Dartmouth College school of Materials Science and engineering The University of New South Wales school of Chemistry and Pharmaceutical Sciences Guangxi Normal University school of Materials and New Energy Ningxia University Thermal Science Research Center Shandong Institute of Advanced Technology

Single crystal Ni-rich cathode materials（SCNCM） are a good supplement in the market of nickel-based materials due to their safety and excellent electrochemical ***,the challenges of cation mixing,phase change during charge/discharge,and low thermal stability remain unresolved in single crystal *** address these issues,SCNCM are rationally modified by incorporating transition metal（TM） oxides,and the influence of metal ions with different valence states on the electrochemical properties of SCNCM is methodically explored through experimental results and theoretical *** structural stability is demonstrated in SCNCM after the modifications,and the degree of improvement in the matrix materials varies depending on the valence state of doped TM *** highest structural stability is found in WO3-modified SCNCM,due to the smaller effective ion radii,higher electro-negativity,stronger W-O bond,and efficient suppression of oxygen vacancy *** a result,WO3-modified SCNCM have outstanding cycle performance,with a capacity retention rate of90.2% after 200 *** study provides an insight into the design of advanced SCNCM with enhanced reversibility and cyclability.

关键词： In-situ coating Ion doping Lithium-ion battery Single crystal Ni-rich material Strengthening mechanism analysis

Recent advances in semi-heterogenous photocatalysis in organic synthesis

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Chinese Chemical Letters 2025年第2期36卷 94-117页

作者： Jia-Cheng Hou Wei Cai Hong-Tao Ji Li-Juan Ou Wei-Min He school of Chemistry and Chemical engineering University of South China school of Pharmaceutical Sciences Hunan University of Medicine school of Materials Science and engineering Hunan Institute of Technology

Semi-heterogeneous photocatalysis has emerged as a powerful and productive platform in organic chemistry, which provides mild and eco-friendly conditions for a diverse range of bond-forming *** synergy of homogeneous catalysts and heterogeneous catalysts inherits their main advantages, such as higher activities, easy separation and superior recyclability. In this review, we summarize the recent advances in recyclable semi-heterogenous protocols for the light promoted bond-forming reactions and identify directions for future research according to the different photocatalysts/metal/redox catalysts involved. Notably, this review is not a comprehensive description of reported literature but aim to highlight and illustrate key concepts, strategies, reaction model, reaction conditions and mechanisms.

关键词： Bond-forming Organic synthesis Photocatalysis Recyclable Semi-heterogeneous

A binary eutectic electrolyte design for high-temperature interface-compatible Zn-ion batteries

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Journal of Energy Chemistry 2025年第2期101卷 587-597页

作者： Guomin Li Wentao Wen Kefeng Ouyang Yanyi Wang Jianhui Zhu Ming Yang Hongwei Mi Ning Zhao Peixin Zhang Dingtao Ma College of Chemistry and Environmental engineering Shenzhen University school of Materials Science and engineering Harbin Institute of Technology (Shenzhen) school of Materials and Environmental engineering Shenzhen Polytechnic Guangdong Flexible Wearable Energy and Tools engineering Technology Research Center

The deterioration of aqueous zinc-ion batteries（AZIBs） is confronted with challenges such as unregulated Zn2+diffusion,dendrite growth and severe decay in battery performance under harsh ***,a design concept of eutectic electrolyte is presented by mixing long chain polymer molecules,polyethylene glycol dimethyl ether（PEGDME）,with H2O based on zinc trifluoromethyl sulfonate(Zn（OTf）2),to reconstruct the Zn2+solvated structure and in situ modified the adsorption layer on Zn electrode *** dynamics simulations（MD）,density functional theory（DFT） calculations were combined with experiment to prove that the long-chain polymer-PEGDME could effectively reduce side reactions,change the solvation structure of the electrolyte and priority absorbed on Zn（002）,achieving a stable dendrite-free Zn *** to the comprehensive regulation of solvation structure and zinc deposition by PEGDME,it can stably cycle for over 3200 h at room temperature at 0.5 mA/cm2and 0.5 mAh/*** at high-temperature environments of 60℃,it can steadily work for more than 800 cycles（1600 h）.Improved cyclic stability and rate performance of aqueous Zn‖VO2batteries in modified electrolyte were also achieved at both room and high *** that,the demonstration of stable and high-capacity Zn‖VO2pouch cells also implies its practical application.

关键词： Dendrite suppression Eutectic electrolyte High temperature Solvation structure Zn anode

Distributed State and Fault Estimation for Cyber-Physical Systems Under DoS Attacks

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 261-263页

作者： Limei Liang Rong Su Haotian Xu the school of Control Science and engineering Shandong University IEEE the school of Electrical and Electronic engineering Nanyang Technological University

Dear Editor,The letter deals with the distributed state and fault estimation of the whole physical layer for cyber-physical systems(CPSs) when the cyber layer suffers from DoS attacks. With the advancement of embedded computing, communication and related hardware technologies, CPSs have attracted extensive attention and have been widely used in power system, traffic network, refrigeration system and other fields.

关键词： Observers Estimation error Sensors Physical layer Sensor systems Security Power system stability