A5103754309- Vibration Control and Rheological Fluids
- Cellular and Composite Structures
- Acoustic Wave Phenomena Research
- Fault Detection and Control Systems
- Advanced Sensor and Control Systems
- Structural Engineering and Vibration Analysis
- Aerodynamics and Acoustics in Jet Flows
- Dielectric materials and actuators
- Speech and Audio Processing
- RNA Interference and Gene Delivery
- Advanced Computational Techniques and Applications
- Composite Structure Analysis and Optimization
- Adaptive Control of Nonlinear Systems
- Advanced Materials and Mechanics
- Hydraulic and Pneumatic Systems
- Advanced Algorithms and Applications
- Metamaterials and Metasurfaces Applications
- Seismic Performance and Analysis
- Heat shock proteins research
- Target Tracking and Data Fusion in Sensor Networks
- Optical Polarization and Ellipsometry
- Magnetic Bearings and Levitation Dynamics
- Mesenchymal stem cell research
Harbin Engineering University
2022-2024
Qingdao University of Technology
2017-2018
Affiliated Hospital of Qingdao University
2017
Qingdao University
2017
BACKGROUND Recent studies have shown that skin flap transplantation technique plays an important role in surgical procedures. However, there are many problems the process of surgeries, especially ischemia-reperfusion injury, which directly affects survival rate and patient prognosis after surgeries. MATERIAL AND METHODS In this study, we used a new method "stem cells-gene" combination therapy. The "F-5" gene fragment heat shock protein 90-α (Hsp90-α) was transfected into human umbilical cord...
The nonlinearity estimation is a major problem in the application of Kalman filtering. Though EKF algorithm achieves output by using approximate nonlinear function, and it enhances system to some extent, for strong systems, still has large error. Therefore, an probability density UKF proposed. function used replace traditional function. simulation results show that proposed method feasible.
With the emergence of large-scale and high-performance modern production system, how to effectively improve safety performance control system has become an urgent problem be solved.[1] Fault detection diagnosis as main means reliability have been widely valued. is a technique use information in detect faults time take corresponding measures ensure system. In view nonlinear systems containing uncertainties, this paper combined with state observer, adaptive control, fuzzy logic, neural network...
This paper proposes a fault diagnosis method based on system identification and self-adaptive neural network for class of SISO systems with identification. In the case noise other external disturbances, least squares is first used system, conduct online modeling. On this basis, observer to observe nonlinear function. order ensure stability closed-loop under bounded interference uncertainty given.