Xiaojie Chou

Title: Innovations of Xiaojie Chou in Neural Network-Based Control Methods

Introduction

Xiaojie Chou is an accomplished inventor based in Jiangsu, China. He has made significant contributions to the field of control systems through his innovative patent. His work focuses on enhancing the performance of turbofan engines using advanced neural network techniques.

Latest Patents

Xiaojie Chou holds a patent for a "Neural network-based NARMA-L2 multivariable control method." This invention discloses a method that includes deriving a NARMA-L2 multivariable control law for nonlinear discrete systems. The approach utilizes neural networks to offline identify nonlinear functions within the control law. The design of the controller incorporates this control law, creating a closed-loop control system specifically for turbofan engines. Additionally, the invention features a mechanism for online updates of neural network errors to correct controller parameters. The primary aim is to minimize the quadratic performance index for errors related to the engine's high-pressure rotating speed and pressure ratio.

Career Highlights

Xiaojie Chou is affiliated with Nanjing University of Aeronautics and Astronautics, where he continues to advance research in control systems. His innovative approach has led to the development of a dual-variable controller that effectively calculates control variables for engine operations, including fuel flow and exhaust nozzle interface areas.

Collaborations

Xiaojie has collaborated with notable colleagues, including Jinquan Huang and Jie Tang, who contribute to his research endeavors.

Conclusion

Xiaojie Chou's work exemplifies the integration of neural networks in control systems, showcasing his innovative spirit and dedication to advancing technology in aeronautics. His contributions are paving the way for improved performance in turbofan engines.