检索结果-内蒙古大学图书馆

From Static and Dynamic Perspectives:A Survey on Historical Data Benchmarks of control Performance Monitoring

IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 300-316页

作者： Pengyu Song Jie Wang Chunhui Zhao Biao Huang the State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University IEEE the Department of Chemical and Materials Engineering University of Alberta

In recent decades, control performance monitoring(CPM) has experienced remarkable progress in research and industrial applications. While CPM research has been investigated using various benchmarks, the historical data benchmark(HIS) has garnered the most attention due to its practicality and effectiveness. However, existing CPM reviews usually focus on the theoretical benchmark, and there is a lack of an in-depth review that thoroughly explores HIS-based methods. In this article, a comprehensive overview of HIS-based CPM is provided. First, we provide a novel static-dynamic perspective on data-level manifestations of control performance underlying typical controller capacities including regulation and servo: static and dynamic properties. The static property portrays time-independent variability in system output, and the dynamic property describes temporal behavior driven by closed-loop feedback. Accordingly,existing HIS-based CPM approaches and their intrinsic motivations are classified and analyzed from these two ***, two mainstream solutions for CPM methods are summarized, including static analysis and dynamic analysis,which match data-driven techniques with actual controlling behavior. Furthermore, this paper also points out various opportunities and challenges faced in CPM for modern industry and provides promising directions in the context of artificial intelligence for inspiring future research.

关键词： control performance monitoring (CPM) data-driven method historical data benchmark (HIS) industrial process performance index static and dynamic analysis

来源：评论

学校读者我要写书评

暂无评论

Predicting tunnel boring machine performance with the Informer model:a case study of the Guangzhou Metro Line project

引用

Journal of Zhejiang University-Science A(Applied Physics & engineering) 2025年第3期26卷 226-237页

作者： Junxing ZHAO Xiaobin DING School of Civil Engineering and Transportation South China University of TechnologyGuangzhou510641China Guangdong Provincial Key Laboratory of Modern Civil Engineering Technology South China University of TechnologyGuangzhou511442China

Accurately forecasting the operational performance of a tunnel boring machine(TBM)in advance is useful for making timely adjustments to boring parameters,thereby enhancing overall boring *** this study,we used the Informer model to predict a critical performance parameter of the TBM,namely *** data from the Guangzhou Metro Line 22 project on the big data platform in China,the model’s performance was validated,while data from Line 18 were used to assess its generalization *** revealed that the Informer model surpasses random forest(RF),extreme gradient boosting(XGB),support vector regression(SVR),k-nearest neighbors(KNN),back propagation(BP),and long short-term memory(LSTM)models in both prediction accuracy and generalization *** addition,the optimal input lengths for maximizing accuracy in the single-time-step output model are within the range of 8–24,while for the multiple-time-step output model,the optimal input length is ***,the last predicted value in the case of multiple-time-step outputs showed the highest *** was also found that relaxation of the Pearson analysis method metrics to 0.95 improved the performance of the ***,the prediction results were most affected by earth pressure,rotation speed,torque,boring speed,and the surrounding rock *** model can provide useful guidance for constructors when adjusting TBM operation parameters.

关键词： Boring machine performance Informer model Deep learning Thrust force

来源：评论

学校读者我要写书评

暂无评论

Impulsive thrust strategy for orbital pursuit-evasion games based on impulse-like constraint

引用

Chinese Journal of Aeronautics 2025年第1期38卷 520-536页

作者： Hongbo WANG Yao ZHANG Hao LIU Kunpeng ZHANG School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China National Key Laboratory of Space Intelligent Control Beijing Institute of Control EngineeringBeijing 100094China

This paper proposes a novel impulsive thrust strategy guided by optimal continuous thrust strategy to address two-player orbital pursuit-evasion game under impulsive thrust *** strategy seeks to enhance the interpretability of impulsive thrust strategy by integrating it within the framework of differential game in traditional continuous ***,this paper introduces an impulse-like constraint,with periodical changes in thrust amplitude,to characterize the impulsive thrust ***,the game with the impulse-like constraint is converted into the two-point boundary value problem,which is solved by the combined shooting and deep learning method proposed in this *** learning and numerical optimization are employed to obtain the guesses for unknown terminal adjoint variables and the game terminal ***,the accurate values are solved by the shooting method to yield the optimal continuous thrust strategy with the impulse-like ***,the shooting method is iteratively employed at each impulse decision moment to derive the impulsive thrust strategy guided by the optimal continuous thrust *** examples demonstrate the convergence of the combined shooting and deep learning method,even if the strongly nonlinear impulse-like constraint is *** effect of the impulsive thrust strategy guided by the optimal continuous thrust strategy is also discussed.

关键词： Orbital pursuit-evasion game Differential game Impulsive thrust Deep learning Shooting method

来源：评论

学校读者我要写书评

暂无评论

Effects of triclosan adsorption on intestinal toxicity and resistance gene expression in Xenopus tropicalis with different particle sizes of polystyrene

引用

Journal of Environmental Sciences 2024年第12期146卷 176-185页

作者： Zhuo Dai Zikai Wang Xinying Pan Li Zheng Yanbin Xu Qingxia Qiao Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control Guangzhou Key Laboratory Environmental Catalysis and Pollution ControlInstitute of Environmental Health and Pollution ControlCollege of Environmental Science and EngineeringGuangdong University of TechnologyGuangzhou 510006China

Microplastics(MPs)are commonly found with hydrophobic contaminants in the water column and pose a serious threat to aquatic *** effects of polystyrene microplastics of different particle sizes on the accumulation of triclosan in the gut of Xenopus tropicalis,its toxic effects,and the transmission of resistance genes were *** results showed that co-exposure to polystyrene(PS-MPs)adsorbed with triclosan(TCS)caused the accumulation of triclosan in the intestine with the following accumulation capacity:TCS+5μm PS group>TCS group>TCS+20μm PS group>TCS+0.1μm PS *** experimental groups showed increased intestinal inflammation and antioxidant enzyme activity after 28 days of exposure to PS-MPs and TCS of different particle *** TCS+20μm PS group exhibited the highest upregulated expression of pro-inflammatory factors(IL-10,IL-1β).The TCS+20μm group showed the highest increase in enzyme activity compared to the control ***-MPs and TCS,either alone or together,altered the composition of the intestinal microbial *** addition,the presence of more antibiotic resistance genes than triclosan resistance genes significantly increased the expression of tetracycline resistance and sulfonamide resistance genes,which may be associated with the development of intestinal inflammation and oxidative *** study refines the aquatic ecotoxicity assessment of TCS adsorbed by MPs and provides informative information for the management and control of microplastics and non-antibiotic bacterial inhibitors.

关键词： Polystyrene Triclosan Xenopus-tropicalis Resistance genes Gut community

来源：评论

学校读者我要写书评

暂无评论

A novel Co-free high-entropy alloy with excellent antimicrobial and mechanical properties

引用

Rare Metals 2025年第1期44卷 581-590页

作者： Wen-Yu Li Ming-Liang Wang Xiao-Di Wang Tong-Min Wang Ting-Ju Li Yi-Ping Lu Key Laboratory of Solidification Control and Digital Preparation Technology(Liaoning Province) School of Materials Science and EngineeringDalian University of TechnologyDalian 116024China

Microbiologically influenced corrosion and bacterial infection lead to serious losses to human production and *** alloys with inherent antibacterial properties is a vital way to solve the above ***,the widely used Cu-containing stainless steels show insufficient antimicrobial properties and relatively low yield strengths,which further limit their application in extreme service *** on the design concept of high-entropy alloys(HEAs),a novel low-cost Co-free CrFeNi_(0.5)Cu_(0.3)HEA with an optimal combination of antibacterial and mechanical properties was designed and *** alloy comprises triple-phase structures,including FeNi-rich face-centered cubic(FCC1),Cu-rich FCC2 and FeCr-rich body-centered cubic(BCC).The antibacterial rate of this HEA is up to 99.99%against Escherichia coli,which is far superior to that of classic 304 Cu-bearing stainless steel(304-Cu SS)and the most reported antibacterial *** addition,the HEA exhibits excellent mechanical properties with a tensile strength of 1032 MPa and yield strength of 842 MPa,far surpassing the corresponding values of 304-Cu SS(i.e.,528 MPa and 210 MPa,respectively).These findings provide new insights for the development of low-cost and high-performance antibacterial alloys.

关键词： High-entropy alloy Microstructure Antibacterial property Mechanical property

来源：评论

学校读者我要写书评

暂无评论

A bio-inspired broadband absorption metamaterial:Driven by dual-structure synergistically induced current vortices

引用

材料科学技术（英文版） 2025年第3期206卷 193-201页

作者： Yuping Duan Chenyang Xia Wei Chen Hanxiao Jia Meng Wang Yupeng Shi Key Laboratory of Solidification Control and Digital Preparation Technology(Liaoning Province) School of Materials Science and EngineeringDalian University of TechnologyDalian 116085China

The performance breakthroughs of some stealth materials have benefited from incorporating biomimetic concepts,and the design ideas of wave-absorbing metamaterials have been greatly ***-ever,stealth materials developed based on a single biological structure still have limitations regarding overall performance and design ***,a dual-structure element combination model with a butterfly-wing porous structure and moth-eye raised structure arranged in an orderly manner is *** iron and polyurethane are mixed as wave absorbents,and the model is utilized to make a biomimetic metamaterial(CSMA),which has an absorption rate of more than 90％at 6.07-18 GHz,achieving broadband effective *** has been verified that the two biostructures designed after an ordered arrangement show synergistic effects in the combined model,and the cooperation between the structures induces the formation of current vector vortices,which are able to induce microwave losses to broaden the effective absorbing ***,the model has the combined application perfor-mance of polarization insensitivity,strong stability of oblique incidence,and low bistatic *** a thought based on the combination of multiple components provides an effective strategy for the design of broadband-absorbing metamaterials.

关键词： Bionic metamaterials Broadband stealth Current vector vortex Environmental adaptation

来源：评论

学校读者我要写书评

暂无评论

Dual heterogeneous structure enabled ultrahigh strength and ductility across a broad temperature range in CrCoNi-based medium-entropy alloy

引用

材料科学技术（英文版） 2025年第4期207卷 46-59页

作者： Kang Tu Bo Li Zonglin Li Kaisheng Ming Shijian Zheng Tianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology School of Materials Science and EngineeringHebei University of TechnologyTianjin 300130China

Developing alloys with exceptional strength-ductility combinations across a broad temperature range is crucial for advanced structural *** emerging face-centered cubic medium-entropy alloys(MEAs)demonstrate outstanding mechanical properties at both ambient and cryogenic *** are anticipated to extend their applicability to elevated temperatures,owing to their inherent ad-vantages in leveraging multiple strengthening and deformation ***,a dual heterostructure,comprising of heterogeneous grain structure with heterogeneous distribution of the micro-scale Nb-rich Laves phases,is introduced in a CrCoNi-based MEA through thermo-mechanical ***,a high-density nano-coherent γ'phase is introduced within the grains through isothermal aging *** superior thermal stability of the heterogeneously distributed precipitates enables the dual heterostructure to persist at temperatures up to 1073 K,allowing the MEA to maintain excellent mechan-ical properties across a wide temperature *** yield strength of the dual-heterogeneous-structured MEA reaches up to 1.2 GPa,1.1 GPa,0.8 GPa,and 0.6 GPa,coupled with total elongation values of 28.6％,28.4％,12.6％,and 6.1％at 93 K,298 K,873 K,and 1073 K,*** high yield strength primar-ily stems from precipitation strengthening and hetero-deformation-induced *** high flow stress and low stacking fault energy of the dual-heterogeneous-structured MEA promote the formation of high-density stacking faults and nanotwins during deformation from 93 K to 1073 K,and their den-sity increase with decreasing deformation *** greatly contributes to the enhanced strain-hardening capability and ductility across a wide temperature *** study offers a practical solu-tion for designing dual-heterogeneous-structured MEAs with both high yield strength and large ductility across a wide temperature range.

关键词： Medium-entropy alloy Dual heterogeneous structure Strength-ductility synergy Cryogenic temperatures Elevated temperatures

来源：评论

学校读者我要写书评

暂无评论

Hierarchical controller Synthesis Under Linear Temporal Logic Specifications Using Dynamic Quantization

引用

IEEE/CAA Journal of Automatica Sinica 2024年第10期11卷 2082-2098页

作者： Wei Ren Zhuo-Rui Pan Weiguo Xia Xi-Ming Sun the Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology the School of Control Science and Engineering Dalian University of TechnologyDalian 116024China

Linear temporal logic(LTL)is an intuitive and expressive language to specify complex control tasks,and how to design an efficient control strategy for LTL specification is still a *** this paper,we implement the dynamic quantization technique to propose a novel hierarchical control strategy for nonlinear control systems under LTL *** on the regions of interest involved in the LTL formula,an accepting path is derived first to provide a high-level solution for the controller synthesis ***,we develop a dynamic quantization based approach to verify the realization of the accepting *** realization verification results in the necessity of the controller design and a sequence of quantization regions for the controller ***,the techniques of dynamic quantization and abstraction-based control are combined together to establish the local-to-global control *** abstraction construction and controller design are local and dynamic,thereby resulting in the potential reduction of the computational *** each quantization region can be considered locally and individually,the proposed hierarchical mechanism is more efficient and can solve much larger problems than many existing ***,the proposed control strategy is illustrated via two examples from the path planning and tracking problems of mobile robots.

关键词： Abstraction-based control design dynamic quantization formal methods linear temporal logic(LTL)

来源：评论

学校读者我要写书评

暂无评论

Toward Universal controller: Performance-Aware Self-Optimizing Reinforcement Learning for Discrete-Time Systems With Uncontrollable Factors

引用

IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3249-3260页

作者： Zhang, Jianfeng Zhang, Haoran Zhao, Chunhui Zhejiang University State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310027 China

The industrial system usually contains not only controllable variables (CVs) but also uncontrollable variables (unCVs), e.g., weather conditions and friction. These unCVs have a direct impact on system control performance. Despite the success of current deep reinforcement learning (DRL) control algorithms, most of them neglect the impact of unCVs, which can cause the deterioration of control performance and instability of the system. To perceive and eliminate the impact of unCVs, a performance-aware self-optimizing universal controller (PASOUC) is designed in this article. The PASOUC aims at integrating the representation of unCVs and controller design to perceive and eliminate the impact of unCVs under different conditions, which goes beyond most existing control methods. Technically, a historical trajectory-inspired control performance perceptron is developed to perceive the impact of unCVs on system control performance under different conditions. Subsequently, a new performance-aware reward is designed to integrate the representation of unCVs and controller design while training the DRL controller. In addition, the domain randomization (DR) training strategy is employed to learn a universal control policy, which can access the approximate optimal trajectory under nonideal conditions. In this way, the impact of unCVs can be eliminated. To handle the low efficiency of the DR training, the policy improvement-policy proximal optimization (PI-PPO) is proposed to enhance the convergence speed of the DR training by performing explicit policy improvement. Finally, illustrative examples are presented to demonstrate the superiority of the proposed method. © 2013 IEEE.

关键词： Deep reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

A blast furnace fault monitoring algorithm with low false alarm rate:Ensemble of greedy dynamic principal component analysis-Gaussian mixture model

引用

Chinese Journal of Chemical engineering 2023年第5期57卷 151-161页

作者： Xiongzhuo Zhu Dali Gao Chong Yang Chunjie Yang State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China

The large blast furnace is essential equipment in the process of iron and steel manufacturing. Due to the complex operation process and frequent fluctuations of variables, conventional monitoring methods often bring false alarms. To address the above problem, an ensemble of greedy dynamic principal component analysis-Gaussian mixture model(EGDPCA-GMM) is proposed in this paper. First, PCA-GMM is introduced to deal with the collinearity and the non-Gaussian distribution of blast furnace ***, in order to explain the dynamics of data, the greedy algorithm is used to determine the extended variables and their corresponding time lags, so as to avoid introducing unnecessary noise. Then the bagging ensemble is adopted to cooperate with greedy extension to eliminate the randomness brought by the greedy algorithm and further reduce the false alarm rate(FAR) of monitoring results. Finally, the algorithm is applied to the blast furnace of a large iron and steel group in South China to verify *** with the basic algorithms, the proposed method achieves lowest FAR, while keeping missed alarm rate(MAR) remain stable.

关键词： Chemical processes Principal component analysis Gaussian mixture model Process monitoring Ensemble Process control

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：