A5102735320- Distributed Control Multi-Agent Systems
- Adaptive Control of Nonlinear Systems
- Video Surveillance and Tracking Methods
- Advanced Control Systems Optimization
- Neural Networks Stability and Synchronization
- Advanced Frequency and Time Standards
- Industrial Vision Systems and Defect Detection
- Target Tracking and Data Fusion in Sensor Networks
- Image Enhancement Techniques
- Image Processing Techniques and Applications
- Inertial Sensor and Navigation
- Dust and Plasma Wave Phenomena
- Ionosphere and magnetosphere dynamics
- Network Time Synchronization Technologies
- UAV Applications and Optimization
- Infrared Target Detection Methodologies
- Software-Defined Networks and 5G
- Nonlinear Waves and Solitons
- Robotic Path Planning Algorithms
- Image and Signal Denoising Methods
- Advanced Image Fusion Techniques
- Mobile Agent-Based Network Management
- Spectroscopy and Chemometric Analyses
- Adaptive Dynamic Programming Control
- Robotics and Sensor-Based Localization
University of Electronic Science and Technology of China
2015-2025
Nanjing University of Aeronautics and Astronautics
2015-2024
Rajamangala University of Technology Srivijaya
2017
Rutgers, The State University of New Jersey
2014-2016
Northwest Normal University
2015
National Time Service Center
2005-2006
University of Chinese Academy of Sciences
2006
Constraints can provide additional aids to a multi-sensor integrated navigation system and hence increase accuracy of the solution enhance reliability system. To integrate constraints with data from sensors, traditional integration Kalman filter (IKF) needs be reconstructed. A new algorithm, so-called constrained adaptive robust (CARIKF) is presented, which implements upon direct fusion solution. In algorithm raw observations all heterogeneous sensors are corrected by pseudoobservations...
ABSTRACT Purpose With the rapid development of artificial intelligence technology, highly intelligent and unmanned factories have become an important trend. In complex environments smart factories, long‐term tracking inspection specified targets, such as operators special products, well comprehensive visual recognition decision‐making capabilities throughout whole production process, are critical components automated factories. However, challenges target occlusion disappearance frequently...
Within the area of environmental perception, automatic navigation, object detection, and computer vision are crucial demanding fields with many applications in modern industries, such as multi-target long-term visual tracking automated production, defect driverless robotic vehicles. The performance has greatly improved recently thanks to developments deep learning algorithms hardware computing capabilities, which have spawned creation a large number related applications. At same time, rapid...
This paper introduces an optimization method for multi-robot automated control welding based on a Particle Swarm Genetic Algorithm (PSGA), aiming to address issues such as high costs, large footprint, and excessive production cycles in lines. The first constructs multi-axis robotic kinematic model provide constraint conditions. Then, the PSO (particle swarm optimization) algorithm, which integrates penalty functions into fitness evaluation, is used determine optimal path by simulating...
With the growing utilization of intelligent unmanned aerial vehicle (UAV) clusters in both military and civilian domains, routing protocol flying ad-hoc networks (FANETs) has promised a crucial role facilitating cluster communication. However, highly dynamic nature network topology, owing to rapid movement changing direction aircraft nodes, as well frequent accesses exits from network, resulted an increased interruption rate FANETs links. While traditional protocols can satisfy basic service...
Abstract In this article, a novel robust finite‐time tracking control scheme is proposed for class of uncertain nonlinear systems subject to the model uncertainty, external disturbance, and input saturation. A barrier function based disturbance observer (BFDO) with convergence performance developed estimate non‐smooth compound which includes system addition, an adaptive continuous nonsingular terminal sliding mode controller, on BFDO developed. The Lyapunov stability are proved....
Within environmental perception, automatic navigation and object detection, computer vision is a crucial demanding field with many applications in modern industries, such as multi-target long-term visual tracking automated production, defect driverless robotic vehicles sensing ability. The performance of has greatly improved recently thanks to developments deep learning algorithms hardware computing capabilities, which spawned the creation large number related applications. This paper...
Composite robots often encounter difficulties due to changes in illumination, external disturbances, reflective surface effects, and cumulative errors. These challenges significantly hinder their capabilities environmental perception the accuracy reliability of pose estimation. We propose a nonlinear optimization approach overcome these issues develop an integrated localization navigation framework, IIVL-LM (IMU, Infrared, Vision, LiDAR Fusion for Localization Mapping). This framework...
In this paper, the propagation of solitary waves in a bounded plasma is theoretically investigated terms finite geometry. We employ reductive perturbation theory to derive quasi KdV equation, which characterizes damping wave kinematic viscosity coefficient ν′ and radius R. It noted that rate increases as or R decreases. also observe existence from fact its amplitude disappears rapidly for R→0 ν′→+∞.
This paper studies the consensus tracking control for a class of uncertain high-order nonlinear multi-agent systems under an undirected leader-following architecture. A novel distributed finite-time adaptive framework is proposed based on barrier function. The cascaded high-gain observers are introduced to solve problem robust with unmeasured intermediate states in framework. schemes guarantee systems, which proven by Lyapunov stability and singular perturbation theory. In conclusion,...
One new approach for detection tank level is investigated based on the auto-adaptive double-threshold Canny operator, considering IR imaging of and aiming at problem level. Edge operator can set automatically, according to different gray gradient histogram's feature, instead traditional in which should be artificially, avoid loss edge information especially liquid level's because improper artificial selection. In process picking up information, it analyze number horizontal stripes, get their...
In this study, a new formation behavior problem for second-order multi-agent systems with time delay is investigated in the presence of antagonistic interactions. We first proposed protocol each agent network. Then, by frequency-domain analysis, sufficient and necessary condition derived to guarantee consensus stability system. It shown that agents same group form their own desired while keeping relative position other groups. Finally, numerical simulations are provided illustrate obtained results.
In this paper, a Brain-Machine Interface (BMI) system is proposed to automatically control the navigation of wheelchairs by detecting shadows on their route. context, new algorithm detect in single image proposed. Specifically, novel adaptive direction tracking filter (ADT) developed extract feature information along shadow boundaries. The avoids extraction features around all directions pixels, which significantly improves efficiency and accuracy extraction. Higher-order statistics (HOS)...