A5101413331- Adaptive Control of Nonlinear Systems
- Underwater Vehicles and Communication Systems
- Advanced Sensor and Control Systems
- Robotic Path Planning Algorithms
- Robotic Mechanisms and Dynamics
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Algorithms and Applications
- Fault Detection and Control Systems
- Iterative Learning Control Systems
- Stability and Control of Uncertain Systems
- Military Defense Systems Analysis
- Simulation and Modeling Applications
- Industrial Automation and Control Systems
- Control Systems in Engineering
- Spectroscopy and Chemometric Analyses
- Infrared Target Detection Methodologies
- E-commerce and Technology Innovations
- Advanced machining processes and optimization
- Metaheuristic Optimization Algorithms Research
- COVID-19 Pandemic Impacts
- Guidance and Control Systems
- Advanced SAR Imaging Techniques
- Reinforcement Learning in Robotics
- Robotic Locomotion and Control
- Image Processing Techniques and Applications
Northwestern Polytechnical University
2009-2024
Shenzhen Institutes of Advanced Technology
2017
Shenyang University of Technology
2014
Changchun Institute of Optics, Fine Mechanics and Physics
2006-2008
Chinese Academy of Sciences
2006-2008
Central South University
2005
The safety of ship hulls, reservoir dams, and bridge piers must be ensured through routine fracture detection damage repair. An underwater robot with eight thrusters six C-shaped legs has been built to able walk on these intricate structures. In this article, a slip-regulated optimal walking control strategy is proposed while taking into account vehicle dynamics. controller also produces the necessary longitudinal force yaw moment, so that follows desired forward velocity heading direction....
Autonomous underwater vehicles (AUVs) are widely used to accomplish various missions in the complex marine environment; design of a control system for AUVs is particularly difficult due high nonlinearity, variations hydrodynamic coefficients, and external force from ocean currents. In this paper, we propose controller based on deep reinforcement learning (DRL) simulation environment studying performance vectored thruster AUV. RL an important method artificial intelligence that can learn...
Autonomous underwater vehicles (AUVs) are important and useful tool platforms in exploring utilizing ocean resource. However, the effect of control surfaces would decrease even invalid complete this condition, it is very hard for conventional AUVs to perform detailed missions at a low forward speed. Therefore, solving problem becomes particularly increase application scope AUVs. In paper, we present design scheme vectored thruster AUV based on 3RPS parallel manipulator, which kind...
Sub-dimension particle swarm optimization(s-dPSO) is proposed based on basic optimization (bPSO). Each dimension of in s-dPSO updated turn. The dimensions with poor diversity would be mutated that initialized again to improve the population and get global optimal solution when algorithm local convergence. Most Benchmark function good result which ability better than bPSO.
Automatic target detection is of great importance in high-resolution synthetic aperture radar (SAR) images processing. In this paper, we proposed a hybrid HMM-TSVM model to detect targets SAR images. Our image system made up three steps. first step, the testing/training are pre-processed, and visual features extracted through 2DPCA, which an improved version principal component analysis. second use HMM construct training sequence from dataset. Particularly, relationships between azimuth...
Fault isolation is an essential step in multivariate statistical process monitoring, which discovers the cause of detected fault. The common adopted techniques for fault isolation, such as contribution plots, reconstruction analysis, branch and bound, etc., often suffer from problems smearing effect, insufficient historical data, heavy computational burden. In this paper, nonnegative garrote (NNG) estimator utilized solves existing methods. proposed method based on finding that there...
It is found that adding a constraint linear motion on the surface normal vector of current workpiece point can make robot set up an adaptive machining method. In this way, according with process realized in finite space. The scientific problems are how to quantitatively describe law special and simplify multi-coupling relationship caused by motion. Therefore, mathematical models have not been practicably till now. study, general D-H method used establish some kinematic equations mapping...
This paper studies the integrated guidance and control (IGC) algorithm for multiple unmaned surface vehicles (USV). Considering error of USV dynamic model external unknown disturbances, mathematical IGC is established. The (DSC) method used to impact angle distance between target. adaptive controller based on neural network (NN) approximation deal with uncertainty in dynamics. stability system verified by using Lyapunov method. simulation has proved that proposed feasible sequential attack...
Objectives: The ban on smoking creates a good smoke-free environment for the traditional farmer’s market. However,the suddenly spread COVID-19 has greatly impacted business model of market.Methods: In order to realize effective transformation current market, this paper uses canvas Osterwalder and Pigneur compare analyze market smart Results:The study found that new promoted by “Smart Farmer” can effectively solve difficulties problems faced Conclusions:On basis research, puts forward main...