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Online Fault-Tolerant Tracking Control With Adaptive Critic for Nonaffine Nonlinear Systems

IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 215-227页

作者： Ding Wang Lingzhi Hu Xiaoli Li Junfei Qiao IEEE the School of Information Science and Technology Beijing Key Laboratory of Computational Intelligence and Intelligent SystemBeijing Laboratory of Smart Environmental Protection and Beijing Institute of Artificial Intelligence Beijing University of Technology

In this paper, a fault-tolerant-based online critic learning algorithm is developed to solve the optimal tracking control issue for nonaffine nonlinear systems with actuator ***, a novel augmented plant is constructed by fusing the system state and the reference trajectory, which aims to transform the optimal fault-tolerant tracking control design with actuator faults into the optimal regulation problem of the conventional nonlinear error system. Subsequently, in order to ensure the normal execution of the online learning algorithm, a stability criterion condition is created to obtain an initial admissible tracking policy. Then, the constructed model neural network(NN) is pretrained to recognize the system dynamics and calculate trajectory control. The critic and action NNs are constructed to output the approximate cost function and approximate tracking control,respectively. The Hamilton-Jacobi-Bellman equation of the error system is solved online through the action-critic framework. In theoretical analysis, it is proved that all concerned signals are uniformly ultimately bounded according to the Lyapunov *** tracking control law can approach the optimal tracking control within a finite approximation error. Finally, two experimental examples are conducted to indicate the effectiveness and superiority of the developed fault-tolerant tracking control scheme.

关键词： Adaptive critic control neural network (NN) nonaffine nonlinear systems online fault-tolerant tracking design uniform ultimate boundedness

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Fractal autoencoder with redundancy regularization for unsupervised feature selection

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Science China(Information Sciences) 2025年第2期68卷 89-102页

作者： Meiting SUN Fangyu LI Honggui HAN School of Information Science and Technology Beijing University of Technology Beijing key laboratory of computational intelligence and Intelligent System Engineering Research Center of Digital Community Ministry of Education Beijing Institute of Artificial intelligence

Feature selection is a crucial step in data preprocessing because feature selection reduces the dimensionality of data by eliminating irrelevant and redundant features. Since manual labeling is expensive, unsupervised feature selection has received increasing attention in recent years. However, existing unsupervised feature selection methods tend to prioritize selecting highly correlated features over exploring feature diversity. Thus, a regularized fractal autoencoder(RFAE) method is proposed to select informative features in an unsupervised way. Specifically, the fractal autoencoder network extends autoencoders to construct a correspondence neural network and a selection neural network. The correspondence neural network exploits interfeature correlations and the selection neural network selects the informative features. A redundancy regularization strategy consists of a redundancy elimination regularization term based on the dependency between features and a sparse regularization term based on the group lasso. The redundancy regularization strategy eliminates feature subset redundancy and enhances network generalization ability. Extensive experimental results on six publicly available datasets show that the proposed RFAE outperforms the compared methods regarding clustering accuracy and classification accuracy. Moreover, the proposed RFAE achieves acceptable computation efficiency.

关键词： unsupervised feature selection fractal autoencoder correspondence neural network selection neural network redundancy regularization strategy

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Distributed optimal consensus control for multiagent systems based on event-triggered and prioritized experience replay strategies

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Science China(Information Sciences) 2025年第1期68卷 306-321页

作者： Cuijuan ZHANG Lianghao JI Shasha YANG Xing GUO Huaqing LI chongqing key laboratory of Image Cognition Chongqing University of Posts and Telecommunications key laboratory of Intelligent Perception and Computing of Anhui Province Anqing Normal University College of Electronic and Information Engineering Southwest University

This study uses event-triggered(ET) and reinforcement learning methods to investigate the optimal consensus control problem for cooperative-competitive multiagent systems. It proposes a novel distributed ET control strategy, which relies on a prioritized experience replay(PER) policy. This strategy not only conserves communication resources but also ensures acceptable system performance. To implement the proposed method, actor-critic(AC) dual-structured neural networks(NNs) are used to approximate the value function and control policy. In the AC NNs, the weight estimates for the NNs are updated at the moment of event triggering, resulting in a nonperiodic weight adjustment pattern. This approach decreases the computational cost in comparison with the traditional ET mechanism. The PER-based ET mechanism makes full use of valid historical data and effectively establishes a balance between system performance and communication resource ***, it does not require the following two conditions in most existing studies:(1) requirement of the system dynamics model to be known, and(2) persistent excitation. In addition, Zeno behavior is excluded from this study. Finally, a simulation is conducted to confirm the validity of the suggested approach.

关键词： multiagent systems event-triggered mechanism prioritized experience replay dual-structured neural networks optimal consensus control

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CSF multi-omics of intracerebral hemorrhage from onset to reperfusion underscores lipid metabolism in functional outcome

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Science Bulletin 2025年第2期70卷 162-166页

作者： Yibin Jiang Sin Man Lam Shuixian Zhang Huan Miao Yong Zhou Qian Zhang Tengyuan Zhou Hui Feng Ning Ding Haomiao Wang Ran Luo Yi Yin Hua Feng Guanghou Shui Rong Hu Department of Neurosurgery and key laboratory of Neurotrauma Southwest HospitalThird Military Medical University(Army Medical University)Chongqing 400038China State key laboratory of Molecular Developmental Biology Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijing 100101China chongqing key laboratory on Big Data for Bio intelligence Chongqing University of Posts and TelecommunicationsChongqing 400065China Clinical Medical Research Center Southwest HospitalThird Military Medical University(Army Medical University)Chongqing 400038China

Constituting 6.5%to 19.6%of all stroke cases worldwide,non-traumatic intracerebral hemorrhage(ICH)represents the most devastating form of stroke,with aging,male gender,and hypertension being important risk factors that predispose individuals to ICH[1,2].Injuries following episodes of ICH can be classified into two forms,namely(1)primary injury arising from mechanical pressure exerted by the hematoma on adjacent tissues,(2)secondary injury resulting from oxidative stress and inflammation mediated by blood cell degradation products and coagulation factors[3].

关键词： metabolism hemorrhage intracerebral

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MMGCF: Generating Counterfactual Explanations for Molecular Property Prediction via Motif Rebuild

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Journal of Computer and Communications 2025年第1期13卷 152-168页

作者： Xiuping Zhang Qun Liu Rui Han chongqing key laboratory of computational intelligence Chongqing University of Posts and Telecommunications Chongqing China College of Electronic and Information Engineering Chongqing Open University Chongqing China

Predicting molecular properties is essential for advancing for advancing drug discovery and design. Recently, Graph Neural Networks (GNNs) have gained prominence due to their ability to capture the complex structural and relational information inherent in molecular graphs. Despite their effectiveness, the “black-box” nature of GNNs remains a significant obstacle to their widespread adoption in chemistry, as it hinders interpretability and trust. In this context, several explanation methods based on factual reasoning have emerged. These methods aim to interpret the predictions made by GNNs by analyzing the key features contributing to the prediction. However, these approaches fail to answer critical questions: “How to ensure that the structure-property mapping learned by GNNs is consistent with established domain knowledge”. In this paper, we propose MMGCF, a novel counterfactual explanation framework designed specifically for the prediction of GNN-based molecular properties. MMGCF constructs a hierarchical tree structure on molecular motifs, enabling the systematic generation of counterfactuals through motif perturbations. This framework identifies causally significant motifs and elucidates their impact on model predictions, offering insights into the relationship between structural modifications and predicted properties. Our method demonstrates its effectiveness through comprehensive quantitative and qualitative evaluations of four real-world molecular datasets.

关键词： Interpretability Causal Relationship Counterfactual Explanation Molecular Graph Generation

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Effect of order–disorder transition on thermodynamic and electronic properties of σ and χ phases in W–Re alloy: the first-principles calculation

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Tungsten 2025年第1期7卷 195-213页

作者： Zhi-Peng Zhu Dian Jia William Yi Wang Jun-Lei Yin Xing-Yu Gao Shu-Feng Yang Hai-Feng Song Jin-Shan Li State key laboratory of Solidification Processing Northwestern Polytechnical University laboratory of computational Physics Institute of Applied Physics and Computational Mathematics School of Metallurgical and Ecological Engineering University of Science and Technology Beijing

The Tungsten-Rhenium(W-Re) alloys,celebrated for their high melting point,strength at elevated temperatures,electrical resistivity,and radiation resistance,have been widely utilized in high-temperature components,aerospace,electronics,and nuclear *** constituents of the topologically close-packed(TCP) phases,the sigma phase(σ) and chi phase(χ) formed within W-Re alloys wield considerable influence on the mechanical properties and the stability of the *** calculations were utilized in the present work to explore the structural,thermodynamic,and electronic properties of both ordered and disordered configurations within the σ and χ phases,culminating in a systematic elucidation of the higher phase stability exhibited by the ordered *** is found that the bulk modulus of these two phases is directly proportional to the concentration of Re in the alloy,while the equilibrium volume is inversely *** thermodynamic parameters of the σ and χ phases are calculated via the mean-field potential *** similar trends observed in the isobaric heat capacity,enthalpy increment,and entropy change curves for these two phases suggest they possess comparable thermodynamic *** is noteworthy that the contribution of ionic vibrations predominantly affects the isobaric heat capacity,while the contribution of thermal electronic excitations increases linearly with *** the structure and thermodynamic properties of TCP phases in W-Re alloys at low temperatures has profound significance for optimizing material performance,microstructures features,establishing theoretical foundations,and predicting material behavior.

关键词： First-principles calculations Phase stability TCP phases Thermodynamic properties W–Re alloy

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Event-Triggered Robust Parallel Optimal Consensus Control for Multiagent Systems

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 40-53页

作者： Qinglai Wei Shanshan Jiao Qi Dong Fei-Yue Wang IEEE the Institute of Systems Engineering Macau University of Science and Technology the State key laboratory of Multimodal Artificial intelligence Systems Institute of Automation Chinese Academy of Sciences the School of Artificial intelligence University of Chinese Academy of Sciences China Academy of Electronics and Information Technology the State key laboratory of Multimodal Artificial intelligence Systems the School of Artificial intelligence University of Chinese Academy of Sciences

This paper highlights the utilization of parallel control and adaptive dynamic programming(ADP) for event-triggered robust parallel optimal consensus control(ETRPOC) of uncertain nonlinear continuous-time multiagent systems(MASs).First, the parallel control system, which consists of a virtual control variable and a specific auxiliary variable obtained from the coupled Hamiltonian, allows general systems to be transformed into affine systems. Of interest is the fact that the parallel control technique's introduction provides an unprecedented perspective on eliminating the negative effects of disturbance. Then, an eventtriggered mechanism is adopted to save communication resources while ensuring the system's stability. The coupled HamiltonJacobi(HJ) equation's solution is approximated using a critic neural network(NN), whose weights are updated in response to events. Furthermore, theoretical analysis reveals that the weight estimation error is uniformly ultimately bounded(UUB). Finally,numerical simulations demonstrate the effectiveness of the developed ETRPOC method.

关键词： Adaptive dynamic programming (ADP) critic neural network (NN) event-triggered control optimal consensus control robust control

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Barrierless reactions of C2 Criegee intermediates with H_(2)SO_(4)and their implication to oligomers and new particle formation

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Journal of Environmental Sciences 2025年第3期149卷 574-584页

作者： Yang Cheng Chao Ding Tianlei Zhang Rui Wang Ruxue Mu Zeyao Li Rongrong Li Juan Shi Chongqin Zhu Institute of Theoretical and computational Chemistry Shaanxi Key Laboratory of CatalysisSchool of Chemical&Environment ScienceShaanxi University of TechnologyHanzhongShaanxi 723001China College of Chemistry Key Laboratory of Theoretical&Computational Photochemistry of Ministry of EducationBeijing Normal UniversityBeijing 100190China

The formation of oligomeric hydrogen peroxide triggered by Criegee intermediate maybe contributes significantly to the formation and growth of secondary organic aerosol(SOA).However,to date,the reactivity of C2 Criegee intermediates(CH_(3)CHOO)in areas contaminated with acidic gas remains poorly ***,high-level quantum chemical calculations and Born-Oppenheimer molecular dynamics(BOMD)simulations are used to explore the reaction of CH_(3)CHOO and H_(2)SO_(4)both in the gas phase and at the airwater *** the gas phase,the addition reaction of CH_(3)CHOO with H_(2)SO_(4)to generate CH_(3)HC(OOH)OSO_(3)H(HPES)is near-barrierless,regardless of the presence of water *** simulations showthat the reaction at the air-water interface is even faster than that in the gas *** calculations reveal that the HPES has a tendency to aggregate with sulfuric acids,ammonias,and water molecules to form stable clusters,meanwhile the oligomerization reaction of CH_(3)CHOO with HPES in the gas phase is both thermochemically and kinetically ***,it is noted that the interfacial HPES−ion can attract H_(2)SO_(4),NH_(3),(COOH)_(2)and HNO_(3)for particle formation from the gas phase to the water ***,the results of this work not only elucidate the high atmospheric reactivity of C2 Criegee intermediates in polluted regions,but also deepen our understanding of the formation process of atmospheric SOA induced by Criegee intermediates.

关键词： Criegee intermediates H_(2)SO_(4) Atmospheric behavior Air-water interface Chemical processes

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Unraveling atomistic and electronic origins of multiaxial magnetic anisotropy

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Science China(Physics,Mechanics & Astronomy) 2025年第2期68卷 175-182页

作者： Boyu Liu Xueyang Li Junsheng Feng Changsong Xu Hongjun Xiang key laboratory of computational Physical Sciences(Ministry of Education) Institute of Computational Physical SciencesState Key Laboratory of Surface Physics and Department of PhysicsFudan UniversityShanghai200433China Shanghai Qi Zhi Institute Shanghai200030China School of Physics and Material Engineering Hefei Normal UniversityHefei230601China

Multiaxial magnetic anisotropy(MA)refers to the phenomenon that multiple axes of the magnetic crystal correspond to different energy *** with the common uniaxial magnetic anisotropy,multiaxial MA facilitates novel forms of applications in ***,by combining the first-principles-based spin Hamiltonian and tight-binding(TB)method,we reveal the microscopic origins,instead of the common phenomenological understanding,of biaxial MA and triaxial *** the example system of NiO,it is found that the multiple minima result from the fourth-order and the sixth-order single ion interactions,while the difference between[110]and[110]directions originates from a second-order bond-dependent anisotropic pair interaction(i.e.,the so-called Gamma interaction).Moreover,through the application of a newly developed general spin dependent TB approach,it is revealed that the triaxial MA arises from the special spin-orbital entangled Hund term,which is different from the orbital-independent Hund term in the usual Slater Koster TB *** work thus not only leads to a thorough understanding of the multiaxial MA in NiO,but also establishes a methodology that can be widely used to explore the microscopic origins of MA in different magnets.

关键词： multiaxial magnetic anisotropy origin of multiaxial magnetic mnisotropy effective spin Hamiltonian tight-binding model antiferromagnetism

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Molecular dynamics simulation of quartz deformation under slow earthquake background

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Science China Earth Sciences 2025年第2期68卷 598-610页

作者： Jingxian SUN Qianqian GUO Quanlin HOU College of Earth and Planetary Sciences University of Chinese Academy of SciencesKey Laboratory of Computational GeodynamicsCASBeijing 100049China

Slow earthquakes are the primary mechanism of slow energy release,and research on the focal mechanism has been *** have primarily focused on the friction law based on physical mechanisms and have suggested that slow earthquakes are caused by brittle ***,the focal strength and structural characteristics of slow earthquakes in subduction zones provide evidence of plastic *** is the role of plastic deformation in the focal mechanisms of slow earthquakes?Mechanochemical study have shown that mechanical forces can directly affect chemical *** this study,we examine the storage and release of chemical energy during plastic deformation and consider a mechanochemical process in the focal mechanism of slow *** with the Tersoff potential,molecular dynamics simulation on the shear deformation process of twoα-quartz crystals show that the shear modulus ofα-quartz is 18 GPa,and that the crystal model primarily exhibits atoms flowing and changing in the direction of chemical bonds during the steady-state flow *** molecular potential energy and stress vary in an oscillating up-and-down curve during shear,indicating that chemical energy can be stored and released during plastic *** is consistent with the energy variation during slow *** the initial simple-shear loading condition,α-quartz crystals undergo general shear deformation instead of plane strain and the angle between the longest instantaneous stretching axis(ISA_(1))and the shearing direction is approximately 30°,not 45°.Both the deformation type and direction of ISA_(1)are contrary to basic deformation theory,which may provide clues for future *** study reveals the process of quartz elastic-plastic shear deformation on an atomic *** information is useful for understanding focal mechanisms of slow *** study is part of a series of investigations on tectonic stress chemistry.

关键词： Slow earthquake α-quartz Plastic strain energy Tectonic stress chemistry Tersoff potential

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