- Target Tracking and Data Fusion in Sensor Networks
- Radar Systems and Signal Processing
- Industrial Technology and Control Systems
- Inertial Sensor and Navigation
- Adaptive Control of Nonlinear Systems
- Engineering and Test Systems
- Advanced SAR Imaging Techniques
- Smart Grid Security and Resilience
- Distributed Sensor Networks and Detection Algorithms
- Guidance and Control Systems
- Fault Detection and Control Systems
- Advanced Sensor and Control Systems
- Advanced Measurement and Detection Methods
- Distributed Control Multi-Agent Systems
- Underwater Acoustics Research
- Advanced Algorithms and Applications
- Ocean Waves and Remote Sensing
- Underwater Vehicles and Communication Systems
- GNSS positioning and interference
- Advanced Computational Techniques and Applications
- Advanced Adaptive Filtering Techniques
- Control Systems and Identification
- Simulation and Modeling Applications
- Military Defense Systems Analysis
- Stability and Control of Uncertain Systems
China University of Mining and Technology
2013-2025
University of Electronic Science and Technology of China
2024
Naval Aeronautical and Astronautical University
2011-2024
Harbin Institute of Technology
2024
Shanghai Jiao Tong University
2020-2024
China Academy of Launch Vehicle Technology
2023
Sichuan University
2023
Taiyuan University of Technology
2023
Nanjing University of Aeronautics and Astronautics
2023
Hubei University of Automotive Technology
2023
To meet the radar data requirements of target detection technology research and address lack publicly available sea-detecting data, a data-sharing program for is proposed herein. The aim to conduct sea experiments using an X-band solidstate phase-coherent other multi-type radars obtain clutter under different conditions, resolutions, grazing angles. Moreover, marine meteorological hydrological position, track are simultaneously obtained help achieve standardized management radar-measured...
We propose a new robust recursive fixed-interval smoother for nonlinear systems under non-Gaussian process and measurement noises, i.e., the nominal Gaussian noise is polluted by large from unknown distributions. Taking advantage of correntropy in handling noise, Rauch-Tung-Striebel derived according to maximum-correntropy-criterion-based cost functions with linearized their first-order Taylor series expansions, where two weights are utilized adjust estimation gains forward filtering...
In this brief, we investigate the robust state estimation of nonlinear systems with heavy-tailed noise. Based on fact that multivariate Laplace (ML) distribution has heavier tails than Gaussian but is only determined by its mean and covariance, utilize ML to model measurement mixture form distribution, system covariance are inferred variational Bayesian method, then a closed recursive Kalman filter obtained integrations calculated numerical integration methods. Simulation results demonstrate...
This paper is concerned with the adaptive robust cubature Kalman filtering problem for case that dynamics model error and measurement exist simultaneously in satellite attitude estimation system. By using Hubel-based methodology to correct covariance formulation of filter, proposed algorithm could effectively suppress error. To further enhance this effect reduce impact error, two different adaptively algorithms, one optimal factor based on estimated matrix predicted residuals other multiple...
There is an urgent need for radar-measured data to tackle key technologies of radar maritime target detection. The ‘‘Sea-detecting X-band Radar and Data Acquisition Program’’, proposed in 2019, aims obtain through experiments share them publicly. In 2020, the program continued advance conducted several three aspects, namely, Cross-Section (RCS) calibration targets, detection sea clutter under different conditions, as well tracking maneuvering targets sea. measurement stainless steel sphere...
The subject of attack detection for industrial cyber-physical systems (IPCSs) is covered in this paper, which addresses threats from transient covert attacks (TCAs), also referred to as the second version replay with a specific frequency and short duration. A comprehensive model TCAs built using active instant period attacks, well dynamics virtual system replicate IPCS function produce signals. Though watermarking-based algorithms have been shown be effective detecting TCAs, induced...
The Internet of Things (IoT) is widely valued by governments, academia, and industry for its huge application prospects. core concepts IoT are perception, control, transmission, intelligence. It uses technology to achieve the synergy between objects objects, people things, so that sensor network, mobile communication network based on formation a larger complex system. First, high order voting algorithm object-networked control proposed. In this paper, redundancy design method an industrial...
In this paper, we derive a modified interacting multiple model filter for jump Markov systems with unknown process and measurement noise covariances. Using the inverse-Wishart distribution as conjugate prior of covariances, system state together parameters each mode are inferred by variational Bayesian method. The mixing output estimates calculated according to weighted Kullback-Leibler average mode-conditioned estimates. Simulation results show effectiveness proposed algorithm.
This article is concerned with the event-based security control problem for a class of multi-time-scale cyber physical systems (MTSCPSs) subject to DoS attacks. To tackle difficulties caused by attacks and feature (MTSF), framework developed co-design switched controller event-triggered mechanism (ETM). An improved dynamic ETM proposed, which closed-loop system can achieve better performance than traditional ETMs in transient process. A novel <inline-formula...
Autonomous collision avoidance is a critical technology in intelligent control, which of great significance for autonomous navigation and operation Unmanned Underwater Vehicles (UUVs). To enhance the autonomy UUV improve its adaptability to unstable forward-looking sonar observation uncertain environments, we propose novel Transformer-based Dual-Channel Self-attention (TDCS) architecture avoidance. TDCS network composed two encoders decoder, integrates dynamic/static obstacle recognition,...
To solve the problem of unknown state noises and uncertain measurement inherent in underwater cooperative navigation, a new Variational Bayesian (VB)-based Adaptive Extended Kalman Filter (VBAEKF) for master⁻slave Autonomous Underwater Vehicles (AUV) is proposed this paper. The Inverse Wishart (IW) distribution used to model predicted error covariance noise matrix. state, together with matrix, can be adaptively estimated based on VB approximation. performance algorithm demonstrated through...
We consider the robust state estimation over sensor networks with non-Gaussian noise, which is often encountered in many applications. Motivated by fact that elliptical distribution natural extension of Gaussian and includes a variety distributions heavy-tailed characteristics, we here adopt to model process measurement noise. The general evolution used replace equation denoted as mixture form. Based on that, posterior system together parameters noises can be inferred variational Bayes...
Sea clutter is one of the main limiting factors influencing target detection performance nautical radars. The physical mechanism sea complex with an abundance factors, and non-Gaussian as well non-stationarity behavior significant. Thus, research into property cognition complicated has to be systematic. Based on that concentrates experimental data, this paper reviews summarizes developments in cognition. It properties are most interest for algorithms:amplitude distribution, spectra,...
This paper concerns the observer-based control problem for a class of two-time-scale cyber-physical systems (TTSCPSs) under dual-scale denial-of-service (DoS) attacks. A TTSCPSs model is first proposed with slow and fast transmission channels, because that dynamics are operating communicating sampling rates, respectively. Due to time scale difference between DoS attacks constructed by characterizing attack frequency duration on different scales. novel <inline-formula...
Serrated gondolellid conodonts (Jinogondolella) are used to define the Cisuralian–Guadalupian (C–G) or Kungurian–Roadian (K–R) boundary in stratotype sections of West Texas and some South China, but other Jinogondolella is absent. This absence has been interpreted be result strong provincialism during this interval geographic clines have demonstrated between an Equatorial Warm Water Province (EWWP) a North Cool (NCWP). Results from succession deep-water limestones Pingxiang section,...