- Adaptive Control of Nonlinear Systems
- Structural Health Monitoring Techniques
- Water Quality Monitoring Technologies
- Structural Engineering and Vibration Analysis
- Advanced Control Systems Optimization
- Hydrological Forecasting Using AI
- Hydraulic and Pneumatic Systems
- Advanced Technologies in Various Fields
- Control and Dynamics of Mobile Robots
- Topology Optimization in Engineering
- Advanced Computational Techniques and Applications
- Aeroelasticity and Vibration Control
- Infrastructure Maintenance and Monitoring
- Wastewater Treatment and Nitrogen Removal
- Elevator Systems and Control
- Model Reduction and Neural Networks
- Thermal properties of materials
- Heat Transfer and Optimization
- GaN-based semiconductor devices and materials
- Adaptive Dynamic Programming Control
Ningbo University
2022-2025
An adaptive sliding mode controller (SMC) design with a reinforcement-learning parameter optimization method is proposed for variable-speed trajectory tracking control of underactuated vessels under scenarios involving model uncertainties and external environmental disturbances. First, considering the flexible requirements vessel’s propulsion system, desired navigation speed designed to satisfy an S-curve acceleration deceleration process. The rate change parameters derived. Second, address...
Multiparameter water quality trend prediction technique is one of the important tools for environment management and regulation. This study proposes a new model with better performance, which combined improved sparrow search algorithm (ISSA) support vector regression (SVR) machine. For problems low population diversity easily falling into local optimum (SSA), ISSA proposed to increase initial by introducing Skew-Tent mapping help jump out using adaptive elimination mechanism. The optimal...
As a representative of wide-bandgap semiconductors, wurtzite gallium nitride (GaN) has been widely utilized in high-power devices due to high breakdown voltage and low specific on resistance. Accurate prediction GaN thermal conductivity is prerequisite for designing effective management systems electronic applications. Machine learning driven molecular dynamics simulation offers promising approach predicting the large-scale without requiring predefined parameters. However, these methods...
In the three-dimensional culture model, breeding basket of area is symmetrical and it important to control dissolved oxygen in region improve efficiency. Practical engineering issues, such as influence flow rate, pH, water temperature, biological consumption on content circulating system, must be considered along with presence modeling errors model. The authors propose an adaptive anti-disturbance strategy for that combines nonlinear disturbance observation sliding model control. Initially,...
Single-frame circulation aquaculture belongs to the important category of sustainable agriculture development. In light visual-detection problem related survival rate Portunus in single-frame three-dimensional aquaculture, a fusion recognition algorithm based on YOLOV5, RCN (RefineContourNet) image residual bait ratio, centroid moving distance, and rotation angle was put forward. Based three-parameter identification LWLR (Local Weighted Linear Regression), model each parameter established,...
One of the fundamental mechanical constructions ships and navigators is cylindrical shell structure. Their damping control difficult to predict frequently depends on precise models. For that reason, this work provides a data-driven multi-intelligence reinforcement learning approach significance for massive structures. Firstly, dynamics equations structure are established based hypothetical modal method, variables introduced derive state-space structure, an interactive environment...
A distributed H∞ consistent vibration reduction control method with online self-organizing optimization capability is proposed to solve the problem of rectangular plates meshes piezoelectric sensor-actuator. Firstly, using FFT (Fast Fourier Transform) method, energy time domain analysis data, modal truncation, and determining order. Secondly, theory genetic algorithm were used for iterative calculation, some actuators selected control. Finally, actuator has ability self-organization...