A5018964832- Adaptive Control of Nonlinear Systems
- Neural Networks Stability and Synchronization
- Adaptive Dynamic Programming Control
- Security in Wireless Sensor Networks
- Distributed Control Multi-Agent Systems
- Guidance and Control Systems
- Aerospace and Aviation Technology
- Inertial Sensor and Navigation
Nanjing University of Posts and Telecommunications
2021-2024
An attitude control issue is concerned for a quadrotor with external disturbances in this paper. For unknown system dynamics, predictor-based neural networks (NNs) are introduced, where prediction errors, angular velocities, constructed, instead of tracking updating NNs' weights. This replacement reduces the occurrence high-frequency oscillations approximation. With improved NNs, predictorbased NN disturbance observer then developed compensation and approximation normalization learning...
Summary Variable‐pitch quadrotors have demonstrated their capability to enhance control performance and overcome limitations compared conventional fixed‐pitch quadrotors, while still facing challenges such as nonlinearity, couplings, uncertainties so on. This article aims address the robust attitude problem of variable‐pitch afflicted with parametric unpredictable external disturbances. Initially, a practical actuator allocation strategy for motor‐propeller is proposed, followed by...
The group consensus control of multi-vehicle systems has practical engineering significance. This paper mainly solves the problem under switching topology and actuator faults. An adaptive gain is introduced to solve faults caused by network attack. protocol designed achieve consensus. stability condition system obtained Lyapunov function. bounded when directed graph satisfies in-degree balance. Finally, effectiveness verified through vehicle simulation.