A5101883686- Space Satellite Systems and Control
- Adaptive Control of Nonlinear Systems
- Inertial Sensor and Navigation
- Spacecraft Dynamics and Control
- Target Tracking and Data Fusion in Sensor Networks
- Fault Detection and Control Systems
- Astro and Planetary Science
- Distributed Control Multi-Agent Systems
- Stability and Control of Uncertain Systems
- Dynamics and Control of Mechanical Systems
- Astronomical Observations and Instrumentation
- Advanced Control Systems Optimization
- Satellite Communication Systems
- Composite Structure Analysis and Optimization
- Control and Dynamics of Mobile Robots
- Vibration and Dynamic Analysis
- Robotics and Automated Systems
- Neural Networks Stability and Synchronization
- Guidance and Control Systems
- Remote Sensing and Land Use
- Spacecraft Design and Technology
- Remote-Sensing Image Classification
- Bladed Disk Vibration Dynamics
- Advanced Text Analysis Techniques
- IoT Networks and Protocols
Harbin Institute of Technology
2013-2025
Suzhou University of Science and Technology
2023
Nanjing University of Aeronautics and Astronautics
2022
Tsinghua University
2021-2022
University of Illinois Chicago
2014-2015
Fake review detection has been studied byresearchers for several years. However, so far all reportedstudies are based on English reviews. This paperreports a study of detecting fake reviews in Chinese. Ourreview dataset is from the Chinese hosting site Dianping1,which built system.They confident that their algorithm very highprecision, but they don't know recall. meansthat detected by system almostcertainly remaining may not be allgenuine. paper first reports supervised learningstudy two...
The distributed prescribed-time orbit containment control for the satellite cluster flight with multiple dynamic leaders is investigated. directed information communication topology between followers taken into account in overall paper. When mass assumed to be constant, a controller is, firstly, presented drive convex hull produced by leaders. Then, parameter uncertainty considered, and sliding mode estimator introduced estimate desired velocity of each follower. Based on estimated state,...
This paper investigates the issues of iterative learning algorithm-based robust thruster fault reconstruction and reconfigurable fault-tolerant control for spacecraft formation flying systems subject to space perturbations. Motivated by sliding mode methodology, a novel observer (ILO) was developed robustly reconstruct faults. Based on signals obtained from ILO, output–feedback (LOF2TC) approach explored such that closed-loop configuration accurately maintained in presence perturbations...
Identifying aspect-based opinions has been studied extensively in recent years. However, existing work primarily focused on adjective, adverb, and noun expressions. Clearly, verb expressions can imply too. We found that many domains be even more important to applications because they often describe major issues of products or services. These enable brands businesses directly improve their To the best our knowledge, this problem not received much attention literature. In paper, we make an...
Abstract This paper investigates the prescribed performance fault‐tolerant attitude tracking control for flexible spacecraft under limited communication network, where controller and actuator are connected via wireless network. The hysteresis quantizer is employed to quantize signal, which can reduce burden of network onboard. First, a novel iterative learning observer developed by combining with neural‐network approximation method reconstruct faults estimate unmeasurable nonlinear...
Hyperspectral images (HSIs) contain spatially structured information and pixel-level sequential spectral attributes. The continuous features hundreds of wavelength bands the differences between spectra are essential for achieving fine-grained classification. Due to limited receptive field backbone networks, convolutional neural networks (CNNs)-based HSI classification methods show limitations in modeling spectral-wise long-range dependencies with fixed kernel size a number layers. Recently,...
Considering the problem of tracking control for a quadrotor unmanned aerial vehicle (QUAV) with input saturation, parameter uncertainties and external disturbances, command filtered backstepping-based fixed-time adaptive scheme was developed. The “explosion complexity” (EOC) is tackled by utilizing filter, influence error removed based on fractional power-error-compensation mechanism. A auxiliary system designed to compensate saturation QUAV. It strictly proves that closed-loop signals are...
With the continuous proliferation of satellites, accurately determining their operational status is crucial for satellite design and on-orbit anomaly detection. However, existing research overlooks this aspect, falling short in its analysis. Through an analysis real-time telemetry data, paper pioneers introduction four distinct states within attitude control systems explores challenges associated with classification prediction. Considering skewed data dimensionality, we propose Two-Step...
This paper investigates the problem of finite-time adaptive sliding mode control for Itô stochastic systems with Markovian switching, where transition rate matrix jump is partially available, and unknown actuator degradation factors matched nonlinearity are considered simultaneously. In this design, an observer first proposed investigated plant to reconstruct system state, effects degradations compensated by estimation mechanism. Based on state estimation, observer-based law developed...
This paper investigates the finite-time relative position coordinated control problem of distributed spacecraft formation without velocity information over limited communication bandwidth. In this design, a dynamic event triggered transmission scheme among is designed to reduce burden, and extended state observer proposed estimate effects non-linearity disturbance each spacecraft. A fast terminal sliding mode law developed achieve coordination overall formation. Finally, numerical simulation...
A method to estimate the line of sight(LOS) rate strapdown imaging seeker based on Particle Filter(PF) is presented. PF algorithm firstly put forward and then model introduced. Because high nonlinearity in both process measurement equations more seriously nonGaussian noise measurements, normally used Extended Kalman Filter(EKF) can not completely meet requirements filtering. Comparatively, a congruent for tracking conditions noise. At last, EKF are applied LOS respectively. Simulation...
The sufficient attitude knowledge including location of recognized stars in star image can be obtained with <i>Lost-in-Space</i> case. In order to make use the knowledge, sensor may work tracking To achieve this, a algorithm is proposed this paper. previous used obtain observed proper region current algorithm. simulations and real sky experiment results show that paper not only improves update rate sensor, but also avoids fault pattern recognition. Finally, featuring was for on-orbit demonstration.
Summary This study is concerned with the robust nonlinear filtering problem for discrete‐time stochastic system multiplicative noise uncertainties, unknown external disturbances, and packet dropouts. The focus of this paper to design a filter predictor–corrector structure such that upper bound on state estimation error variance minimized in presence noise, Thus, based method obtain variances noises, dropouts designed. Further stability analysis shows proposed has robustness against...
This study focuses on the attitude control of a flexible spacecraft comprising rotating appendages, magnetic bearings, and satellite platform capable carrying solar panels. The kinematic dynamic models were established using Lagrange methods to describe translation rotation system its connected components. A simplified model dynamics five-degrees-of-freedom (DOF) active bearing was developed equivalent stiffness damping based gap variations in bearing. Next, fixed-time sliding mode method...