A5065163866- Energy, Environment, Economic Growth
- Aerospace and Aviation Technology
- Advanced Control Systems Optimization
- Adaptive Control of Nonlinear Systems
- Sustainable Supply Chain Management
- Iterative Learning Control Systems
- Air Traffic Management and Optimization
- Environmental Sustainability in Business
- Digital Marketing and Social Media
- ICT Impact and Policies
- Aerodynamics and Fluid Dynamics Research
- Neural Networks and Applications
- FinTech, Crowdfunding, Digital Finance
- Sharing Economy and Platforms
- Smart Cities and Technologies
- Aerospace Engineering and Control Systems
- Control Systems in Engineering
Nanjing University of Finance and Economics
2022-2025
Civil Aviation University of China
2012-2024
Beijing Jiaotong University
2020-2021
ABSTRACT Could building the Internet improve green growth of production in cities and thereby realize economic progress high quality? Utilizing a quasi‐natural experiment from implementation “Broadband China,” study explores role construction propelling urban regions China. Its consequences illuminate that could significantly elevate transformation development. Furthermore, this advancement is facilitated via mechanisms technological innovation, optimized industrial structure, as well...
With the gradual increase of social awareness environmental protection, information disclosure has become key for enterprises to accept supervision and fulfill their responsibility. This study examines high-polluting that were listed on Chinese A-shares between 2008 2021. The influence quality green innovation is examined using ordinary least squares (OLS) as a benchmark model. results show improvement can significantly improve quantity are mediated by alleviating financing constraints...
Trajectory-based aircraft operation and control is one of the hot issues in air traffic management. However, accurate mechanism modeling tough work, data have not been effectively utilized many studies. So, this we apply model-free adaptive iterative learning method to address time-of-arrival problem trajectory-based operation. This first formulated into a trajectory tracking with along-track wind disturbance. Through rigorous analysis, it shown that method, combined point-to-point (ILC)...
The adaptive trajectory and attitude control is essential for the four-dimensional (4D) operation of civil aircraft in symmetric thrust flight. In this work, an integrated scheme proposed based on =multi-input multi-output (MIMO) model free (MFAC) method. First, full-form dynamic linearization technique adopted to build equivalent data aircraft. Also, MIMO MFAC with saturation constraint designed achieve accurate tracking a given 4D attitude. Besides, performance limitations are taken into...
This study aims to explore a trajectory tracking control approach in four-dimensional (4D) operation by employing cascade model-free adaptive (MFAC) technique. The primary objective is tackle the complexities associated with modeling aircraft mechanisms context of control. By utilizing measurable input and output data, an equivalent dynamic linearized data model constructed. Subsequently, position speed controllers are developed based on MIMO-CFDL-MFAC SISO-CFDL-MFAC, respectively. These...