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中国科学:信息科学(英文版)
中国科学:信息科学(英文版)

周光召

月刊

1674-733X

informatics@scichina.org

010-64015683

100717

北京东黄城根北街16号

中国科学:信息科学(英文版)/Journal Science China Information SciencesCSCDCSTPCDEISCI
查看更多>>《中国科学》是中国科学院主办、中国科学杂志社出版的自然科学专业性学术刊物。《中国科学》任务是反映中国自然科学各学科中的最新科研成果,以促进国内外的学术交流。《中国科学》以论文形式报道中国基础研究和应用研究方面具有创造性的、高水平的和有重要意义的科研成果。在国际学术界,《中国科学》作为代表中国最高水平的学术刊物也受到高度重视。国际上最具有权威的检索刊物SCI,多年来一直收录《中国科学》的论文。1999年《中国科学》夺得国家期刊奖的第一名。
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    Event-triggered sliding mode control of linear repetitive processes and its application in metal rolling process

    Xinyu LVYugang NIUJames LAM
    163-177页
    查看更多>>摘要:This paper investigates the design problem of a sliding mode controller for linear repetitive processes(LRPs)with a finite pass length on each pass.Under limited communication resources,an event-triggered mechanism is implemented from the sensors to the controller,whose triggered sequence is consistent with the evolution direction of LRPs.To periodically orchestrate communication between the controller and actuator,a round-robin scheduling mechanism is established based on the pass length.A sliding function involving the state and pass profile is constructed,and the sliding mode controller is designed using triggered states and pass profile signals.Feasible controller gains are attained to ensure the stability of the resultant closed-loop system.Finally,the proposed strategy is implemented for a multi-roll metal rolling process.

    Output feedback stabilization of stochastic high-order planar nonlinear systems with stochastic inverse dynamics and output-constraint

    Ruiming XIEShengyuan XU
    178-192页
    查看更多>>摘要:In this paper,we solve the output feedback control problem of stochastic high-order planar nonlinear systems with output constraint and stochastic integral input-to-state stability(SiISS)inverse dy-namics.By employing a key coordinate transformation,a stochastic nonlinear system with output constraint and SiISS inverse dynamics is converted into an unconstrained system.By skillfully constructing an observer and adopting SiISS small-gain conditions,we develop a new output feedback control design and analysis method,and prove that all the closed-system signals are bounded almost surely,the output constraint is not violated almost surely,and the equilibrium point of the closed-loop system is stochastically asymptotically stable.

    Optimizing evasive maneuvering of planes using a flight quality driven model

    Chang LIUShaoshan SUNChenggang TAOYingxin SHOU...
    193-204页
    查看更多>>摘要:This paper investigates the optimal evasive maneuver for a plane to avoid an incoming mis-sile.To accurately model the system dynamics while improving computational efficiency,a simplified plane model based on flight quality is established.A missile model with proportional guidance is also formulated.The problem of determining the optimal evasion plane maneuver is formulated.The Gauss pseudospectral method(GPM)is proposed as a solution to find the optimal maneuver.The optimized maneuver is validated by testing it on a high-fidelity 6-degree-of-freedom(6-DOF)model,which demonstrates the effectiveness of the proposed simplified plane model.The Monte Carlo method is employed to evaluate the capability of the plane to evade missiles in various scenarios and elucidate general principles for successful evasion.

    Blindness-free beam scanning antenna with array of array architecture:principle,design,and experiment

    Jianxu SUNYujian CHENG
    205-220页
    查看更多>>摘要:This paper presents a 66-76-GHz sparsely-excited phased array antenna with the array of array(AoA)architecture for eliminating the blindness and suppressing the grating lobe when scanning.For the array antennas printed on the thick dielectric layers with high relative permittivity,scanning blindness ap-pears and seriously impacts the radiation performance.To address this issue,the AoA topology is developed first.It finds that the scanning blindness appears due to the coupling of the radiating Floquet modes to the non-radiating surface wave(SW)modes.Therefore,the array is divided into two types of domino subarrays.The inner-phase distributions are introduced into the domino subarrays to break the one-to-one relationship between the Floquet mode and the SW mode.Then,the blindness inside±60° scanning volume is eliminated by the aperiodic subarrays.Meanwhile,the aperiodic inner-phase distributions enhance the aperiodicity of the array and contribute to suppressing the grating lobe when scanning.Next,the meta-surface-based dipole with the shorted post is chosen as the unit cell for the proposed aperiodic array.Based on these methods,the array achieves the wide-scanning performance of±60° in the E-plane and±30° in the H-plane,without the blindness and the grating lobe.Finally,the 16x16 array is built and simulated with the dimension of 32 mm x 32 mm.At the highest operating frequency,the simulated gains are 28.42,25.17,and 24.01 dBi when scanning to the broadside,50° in the E-plane,and 30° in the H-plane,respectively.Compared to the ideal gain,it shows that the simulated radiation efficiency is about 84.13%,62.08%,and 35.23%when scanning to the broadside,50° in the E-plane,and 30° in the H-plane,respectively.The worst transmission coefficient,i.e.,the worst isolation,is-11.97 dB between the central element and its two adjacent elements in the E-plane.The array prototypes are fabricated,and the experiments are carried out to verify the cor-rectness of the principle and design.Compared to existing antenna array designs,due to the employment of the AoA architecture,the proposed antenna achieves 51.30%channel reduction with both blindness-free and grating-lobe-free performance.Meanwhile,due to the regular and periodic subarray spacing,the best realizability is achieved for the sparsely-excited phased array at the millimeter-wave bands.This is valuable for the wide-scanning phased array antennas in the sixth-generation(6G)highly-integrated communication systems at the millimeter-wave bands.

    Joint UAV trajectory and communication design with heterogeneous multi-agent reinforcement learning

    Xuanhan ZHOUJun XIONGHaitao ZHAOXiaoran LIU...
    221-241页
    查看更多>>摘要:Unmanned aerial vehicles(UAVs)are recognized as effective means for delivering emergency communication services when terrestrial infrastructures are unavailable.This paper investigates a multi-UAV-assisted communication system,where we jointly optimize UAVs'trajectories,user association,and ground users(GUs)'transmit power to maximize a defined fairness-weighted throughput metric.Owing to the dynamic nature of UAVs,this problem has to be solved in real time.However,the problem's non-convex and combinatorial attributes pose challenges for conventional optimization-based algorithms,particularly in scenarios without central controllers.To address this issue,we propose a multi-agent deep reinforcement learning(MADRL)approach to provide distributed and online solutions.In contrast to previous MADRL-based methods considering only UAV agents,we model UAVs and GUs as heterogeneous agents sharing a common objective.Specifically,UAVs are tasked with optimizing their trajectories,while GUs are responsible for selecting a UAV for association and determining a transmit power level.To learn policies for these heterogeneous agents,we design a heterogeneous coordinated QMIX(HC-QMIX)algorithm to train local Q-networks in a centralized manner.With these well-trained local Q-networks,UAVs and GUs can make individual decisions based on their local observations.Extensive simulation results demonstrate that the proposed algorithm outperforms state-of-the-art benchmarks in terms of total throughput and system fairness.

    Multi-sensor multispectral reconstruction framework based on projection and reconstruction

    Tianshuai LITianzhu LIUXian LIYanfeng GU...
    242-258页
    查看更多>>摘要:The scarcity and low spatial resolution of hyperspectral images(HSIs)have become a major problem limiting the application of the images.In recent years,spectral reconstruction(SR)has been applied to convert multispectral images(MSIs)with abundant quantities and high spatial resolution into HSIs.With the launch of several new multispectral(MS)satellites with a short repeat period,the simultaneous acquisition of images from multiple MS sensors in the same area is gradually becoming feasible.Unfortunately,existing SR methods only consider the reconstruction of the MSIs of a single sensor without considering using MSIs from different MS sensors to obtain a better construction effect through their complementary bands.However,multi-sensor SR is characterized by two problems:inconsistency in the amplitude information of real multi-sensor imaging and difficulty in the extraction of the complex correlations of bands from different sensors.To solve these problems,this paper proposes a multi-sensor SR framework based on a two-step approach in which the problems of amplitude inconsistency and band information extraction are solved using an ideal projection network and an ideal multi-sensor SR network,respectively.The effectiveness of the proposed method is verified by experiments on three datasets.

    High-performance broadband photodetector based on PtSe2/MoS2 heterojunction from visible to near-infrared region

    Bin WANGJian YUANMengqi CHEMingxiu LIU...
    259-266页
    查看更多>>摘要:Broadband photodetectors based on narrow bandgap 2D materials have garnered considerable interest for application in the field of optoelectronic devices.However,their large dark current hinders device performance.In this work,a PtSe2/MoS2 heterojunction was fabricated for a broadband photodetector operating within the range of visible to near-infrared.The device exhibited suppressed dark currents with a high rectification ratio of 104.The built-in electric field of the heterojunction promoted carrier separation effectively,and the device achieved excellent photoelectric performance with responsivities of 1.7 × 103,27.52,and 21 mA/W at 635,785,and 1550 nm wavelengths,respectively.Moreover,the specific detectivities(D*)were 2.2 × 1013 Jones(635 nm),3.55 × 1011 Jones(785 nm),and 2.72 × 108 Jones(1550 nm).The device demonstrated a rise/fall time of 131/241 μs under 1550 nm laser illumination.Visible and near-infrared imaging detection was also demonstrated based on the heterojunction device at room temperature.This work sheds light on the remarkable potential of PtSe2/MoS2 heterojunctions in the domain of high-performance broadband photodetectors.

    Experimental demonstration of a photonic spiking neuron based on a DFB laser subject to side-mode optical pulse injection

    Shuiying XIANGShuang GAOYuechun SHIYuna ZHANG...
    267-276页
    查看更多>>摘要:We proposed and experimentally demonstrated a simple and novel photonic spiking neuron based on a distributed feedback(DFB)laser subject to side-mode optical pulse injection(SMOPI).The DFB laser chip is designed and fabricated based on asymmetric equivalent π phase shift(π-EPS)with the reconstruction-equivalent-chirp(REC)technique.Under side-mode continuous-wave(CW)optical injection,excitability pulse was experimentally observed during the dominant mode switching process due to the injection-locked effect.Based on the transition between the excitability regime and the side-mode injection locking effect,the controllable and repeatable neuron-like spiking response can be realized when external stimulus pulses are electro-optically modulated on the CW optical carrier.The experimental results show that the spike threshold,temporal integration,and refractory period,which are important spike processing mechanisms in biological neurons,can all be achieved in the optically-injected DFB laser.The experimental findings are also verified numerically with a rate equation model that considers the SMOPI.To the best of our knowledge,this is the first experimental demonstration of a photonic spiking neuron based on a DFB laser subject to SMOPI,which holds promise for realizing large-scale photonic spiking neuron arrays for hardware photonic spiking neural network chips.

    Wearable ultrasensitive and rapid human physiological monitoring based on microfiber Sagnac interferometer

    Xin WANGHongyou ZHOUMeihua CHENYongcheng HE...
    277-286页
    查看更多>>摘要:High-sensitive and fast-responding flexible strain sensors are essential for the smart wearable devices that precisely and dynamically perceive the weak deformations induced by human physiological signals.Here,a flexible strain sensor via polydimethylsiloxane(PDMS)-encapsulated microfiber Sagnac interferometer was designed and prepared for monitoring the human pulse signals and sound vibrations.The sensor achieved a record-breaking sensitivity(gauge factor,GF=9977)and an extremely low detection limit(0.00025%)due to the strong polarization-dependent coupling effect in the microfiber coupler and the polarization-mixing effect in the Sagnac loop.The relative intensity demodulation method also enabled a fast response time of 10 μs.The wearable pulse measurements were implemented by attaching this flexible strain sensor directly to human skin at various locations and the waveform details were accurately captured.Taking advantage of the ultra-high sensitivity and fast response performance of the prepared sensor,the real-time dynamic acquisition of the underwater weak signal,such as the hydro-acoustic waves with a wide range of 20 Hz-16.86 kHz,has been demonstrated.These initial results pave the way for a new and innovative category of underwater wearable devices with rapid detection of human physiological signals and weak environmental vibrations.

    A deep learning model enabled multi-event recognition for distributed optical fiber sensing

    Yujiao LIXiaomin CAOWenhao NIKuanglu YU...
    287-303页
    查看更多>>摘要:Fiber optic sensors that utilize backscattered light offer distributed real-time measurements and have been seen tremendous improvements in sensing distance and spatial resolution over the last decades.However,these improvements in sensor capabilities lead to a significant increase in the amount of data that needs to be processed.Traditional processing schemes are no longer adequate,so the development of novel signal processing methods is critical.Phase-sensitive optical time domain reflectometry(Φ-OTDR)is now applied in various applications for multi-event recognition,and it would usually be difficult,sometimes even unrealistic to label all the acquired samples due to its real-time and seamless monitoring nature.To fully take advantage of the information contained within the large number of unlabeled samples,which were formerly not utilized and hence wasted,we propose a semi-supervised model to boost the event classification performance of Φ-OTDR.The model extracts respectively the temporal features and the spatial bidirectional features together with a dual attention mechanism.Its classification accuracy has been improved up to 96.9%with only 1230 labeled samples.In addition,our model shows significant advantages when the number of labeled samples is reduced.Importantly,our method improves the accuracy of multi-event classification without any modification to the optical setup.