A5003641090- Adaptive Control of Nonlinear Systems
- Adaptive Dynamic Programming Control
- Underwater Vehicles and Communication Systems
- Cancer Cells and Metastasis
- Ship Hydrodynamics and Maneuverability
- Inertial Sensor and Navigation
- Single-cell and spatial transcriptomics
- Esophageal Cancer Research and Treatment
- Control and Dynamics of Mobile Robots
Shandong First Medical University
2024
Shandong Jiaotong University
2022-2023
In order to simplify the design process of controller, improve robustness system, and save energy output a controller improved by nonlinear feedback is designed. First all, constructing Lyapunov function, simplified, control law avoided cancel term system; then, heading error processed power function used replace itself; finally, training ship “Yupeng” was as an example for system simulation. Compared with pure backstepping method, simulation results show that average cost keeping proposed...
This paper develops a depth information robust adaptive control algorithm with event triggered input for underactuated surface vessels dynamic uncertainty and limited communication resources. The controller uses radial basis function (RBF) neural networks to approximate the model uncertainty. designs an because of stability is rigorously proved via Lyapunov analysis. In comparing finite time scheme without event-triggered ANNs minimum learning parameters (MLPs) artificial network (ANNs),...
This paper designs a finite-time trajectory tracking control system with event-triggered input for underactuated surface vessels(USVs) which are influenced by dynamic uncertainties, unknown time-varying disturbances and limited communication resources. In this system, the virtual reference heading is obtained performing norm inverse calculation on of sway surge, new kinematic error equation constructed based this. Then, internal uncertainty external disturbance in compounded linearized,...