A5100652569- UAV Applications and Optimization
- Advanced Wireless Communication Technologies
- Wireless Communication Security Techniques
- Advanced Manufacturing and Logistics Optimization
- Optical Network Technologies
- Extremum Seeking Control Systems
- Modular Robots and Swarm Intelligence
- Industrial Vision Systems and Defect Detection
- Autonomous Vehicle Technology and Safety
- Fault Detection and Control Systems
- Optimization and Packing Problems
- Smart Grid and Power Systems
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Technology and Security Systems
- Aerospace and Aviation Technology
- Advanced Optical Network Technologies
- Advanced Control Systems Optimization
- Stability and Control of Uncertain Systems
- Robotic Path Planning Algorithms
- Advanced Photonic Communication Systems
- Control and Stability of Dynamical Systems
- Vehicle Routing Optimization Methods
- Vehicle License Plate Recognition
- Iterative Learning Control Systems
Shenzhen Stock Exchange
2024
Chongqing University of Posts and Telecommunications
2019-2023
Chengdu University of Information Technology
2021
Harbin Institute of Technology
2021
Sinopec (China)
2021
Chengdu University of Technology
2021
Nanjing University of Aeronautics and Astronautics
2014
Due to both of jamming and eavesdropping, active eavesdroppers can induce more serious security threats unmanned aerial vehicle (UAV)-enabled communications. This paper considers a secure UAV communication system including the downlink (DL) uplink (UL) transmissions, where confidential information is transmitted between ground node in presence an eavesdropper. We aim maximize average secrecy rates DL UL communications, respectively, by jointly optimizing trajectory UAV/ground node's transmit...
We consider control systems utilizing so-called Clegg integrators. A integrator is a linear with reset mechanism whose describing function 1.62//spl omega/ /spl ang/-38.1/spl deg/ has magnitude slope equivalent to that of integrator, but 51 less degrees phase lag. The potential advantages using integrators meet stringent design specifications been demonstrated in the literature, however, stability analyses are missing. This paper addresses zero-input such and provides definitive condition...
Aircraft upset situations are the highest risk to civil aviation. Thus, a reliable recovery policy is necessary for aircraft. In this paper, two-stage strategy achieve reinforcement learning (RL)-based that takes time of and loss altitude into account proposed aircraft recover from an arbitration situation level flight. Based on Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm, algorithm TD3-based developed. Experiments conducted based X-Plane 11 evaluate effectiveness...
This paper deals with the fault-tolerant control for a class of delta operator non-linear switched systems in terms average dwell time approach. Firstly, criteria asymptotical stability and exponential are proposed. Secondly, controller is designed to guarantee system actuator faults. Finally, practical example provided illustrate proposed
Aiming at the problem of vehicle routing in logistics distribution, an improved ant colony optimization algorithm was proposed. In distribution process, shortening delivery mileage minimizes path Introduction. By establishing a corresponding matlab model, is used to solve optimal path. The sets volatility factor according search stage, and considers starting point, end point distance between each node heuristic factor. experimental results show that compared with traditional manual scheme,...
This paper proposes a mobile unmanned aerial vehicle (UAV) jamming scheme under the probabilistic line-ofsight channel model (PLCM) to improve secrecy of ground wiretap channels, in which friendly UAV is deployed cooperatively transmit signals confuse suspicious eavesdropper. Our goal maximize average (expected) rate by jointly optimizing source power, power and trajectory for given flight time. Since expected highly complicated with respect trajectory, we derive more tractable lower bound...
Summary Lithofacies prediction plays an important role in reservoir characterization. Referring to the idea about pseudo-well simulation, we present a stochastic simulation method for lithofacies prediction. The proposed is mainly composed of two parts, and seismic matching. On one hand, use continuous time Markov chain (CTMC) express prior information contained well data. Based on CTMC can get lots pseudo-wells that have different sequences, then random sampling obtain elastic parameters...