A5057268722- Fault Detection and Control Systems
- Advanced Control Systems Optimization
- Circular RNAs in diseases
- Vibration and Dynamic Analysis
- Hydraulic and Pneumatic Systems
- RNA modifications and cancer
- Extracellular vesicles in disease
- Advanced Algorithms and Applications
- Adaptive Control of Nonlinear Systems
- Robotic Path Planning Algorithms
- Maritime Navigation and Safety
- Dynamics and Control of Mechanical Systems
- Underwater Vehicles and Communication Systems
Harbin University of Science and Technology
2023
Nanjing Medical University
2022
Jiangsu Province Hospital
2022
Osteoarthritis (OA) is a prevalent degenerative joint disease that not only significantly impairs the quality of life middle-aged and elderly individuals but also imposes significant financial burden on patients society. Due to their biological properties, extracellular vesicles (EVs) have steadily received great attention in OA treatment. This study aimed investigate influence EVs chondrocyte proliferation, migration, apoptosis protective efficacy against mice.
Aiming at the local minimum problem and target unreachable problems in path planning of unmanned surface vehicle (USV), a algorithm USV considering virtual point is proposed. For problem, repulsive force potential field function created. According to measured distance between obstacle, zero, so that can reach point. caused by various obstacles analyzed, simulated annealing (SA) artificial approach (APFA) are combined solve general obstacles. special U-shaped obstacles, (VTPA) established...
For ship dynamic positioning (DP) system with limited communication resources under bounded disturbance, a double-mode robust event-triggered model predictive control (ET-MPC) method is proposed. Initially, the mechanism formulated by surveying error between state and its optimal forecast. The controller only executes optimization when attains certain triggering level. Next, MPC rule devised according to constraint conditions of equation. input calculated judging whether current information...