A5068833546- Inertial Sensor and Navigation
- Target Tracking and Data Fusion in Sensor Networks
- GNSS positioning and interference
- Adaptive Control of Nonlinear Systems
- Spacecraft Design and Technology
- Functional Brain Connectivity Studies
- Space Satellite Systems and Control
- Geophysics and Gravity Measurements
- Prion Diseases and Protein Misfolding
- Child Welfare and Adoption
- Ammonia Synthesis and Nitrogen Reduction
- Schizophrenia research and treatment
- Embedded Systems Design Techniques
- Radiation Effects in Electronics
- Electrokinetic Soil Remediation Techniques
- Real-time simulation and control systems
- Mast cells and histamine
- Family Support in Illness
- Amyotrophic Lateral Sclerosis Research
- Neurogenetic and Muscular Disorders Research
- Mental Health Research Topics
- Heart Rate Variability and Autonomic Control
- Environmental remediation with nanomaterials
- Landfill Environmental Impact Studies
- Immunodeficiency and Autoimmune Disorders
First Affiliated Hospital of Anhui Medical University
2024
Anhui Provincial Hospital
2024
Anhui Medical University
2020-2024
Nanjing University of Science and Technology
2020-2022
Guangzhou Vocational College of Science and Technology
2022
Yangzhou University
2021
Chengdu University of Technology
2016
Nanjing Tech University
2013
This paper proposes a low-cost on-chip Hardware-in-the-Loop (HIL) platform for teaching and fast prototyping of dynamic systems. A dual-core digital signal controller (DSC)-based solution is proposed the HIL system. CPU core A, as simulation engine, dedicated to circuit system simulation. The actuation control logic are implemented in B, which working engine. Inter-processor communication used interchange variables between CPUs. digital-to-analog converter outputs send duty cycle state...
Abstract Background Neuroimaging studies have documented brain structural changes in schizophrenia at different stages of the illness, including clinical high-risk (cHR), genetic (gHR), first-episode (FES), and chronic (ChS). There is growing awareness that neuropathological processes associated with a disease fail to map specific region but do network. We sought investigate damage networks across schizophrenia. Methods initially identified gray matter alterations 523 cHR, 855 gHR, 2162 FES,...
摘要:
Abstract There are three problems in applying central difference Kalman filter (CDKF) to attitude estimation of low‐cost satellite: (1) the negative definiteness and asymmetry covariance matrix caused by limited computing power storage space onboard microprocessor may result calculation divergence, (2) system model uncertainty including mismatch state mutation environmental disturbances from inside outside satellite will lead (3) addition operation on quaternions violates normalization...
This paper addressed a strongly nonlinear problem caused by status mutation in CubeSat attitude estimation system. The multiple fading factors are employed to make different state channels have separate adjustment ability, which enhances the tracking performance for mutation. second-order difference transformation is adopted improve approximation accuracy of posterior mean and covariance. Therefore, central Kalman filter (MFSCDKF) formed system presence Compared with single factor...
Abstract In this paper, an improved strong tracking unscented Kalman filter based on multiplicative modified Rodrigues parameters (MRPs) is proposed for satellite attitude estimation. The MRPs are superior to additive in terms of representation, especially when angles large. By minimizing the loss function Wahba’s problem, a novel method weighted average derived replace simple procedure. generation Sigma points, update state variables, and calculation covariance matrices all different from...
This paper proposes high-accuracy and reliable attitude measurement methods exclusive for CubeSat with restrictions of low cost, limited space, power consumption. The unit is equipped Commercial Off-The-Shelf (COTS) components including Micro-Electro-Mechanical System (MEMS) gyro two simultaneously operating star trackers (STR) to enhance the accuracy. Multiplicative Extended Kalman Filter (MEKF) used estimate CubeSat, four kinds estimation layouts are put forward according idea weighted...
The malfunction of attitude control system will lead to continuous tumble on-orbit spacecraft, which brings two problems estimation, one is the large initial error, and other status mutation. Focusing on above issues, a robust strong tracking cubature Kalman filter (RSTCKF) proposed in this paper obtain high-precision real-time knowledge failed spacecraft. On hand, multiplicative quaternion adopted whole process instead additive keep normalized, increases numerical stability CKF;...