Haiqin Qin

Title: Innovations of Haiqin Qin in Neural Network-Based Control Methods

Introduction

Haiqin Qin is a notable inventor based in Jiangsu, China. He has made significant contributions to the field of control systems through his innovative approaches. His work primarily focuses on the application of neural networks in multivariable control methods.

Latest Patents

Haiqin Qin 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 method utilizes neural networks to offline identify nonlinear functions within the control law. It also involves designing a controller based on this control law and creating a closed-loop control system for a specific type of turbofan engine. The invention aims to minimize the quadratic performance index for the errors of the engine's high-pressure rotating speed and pressure ratio. By combining neural networks with the deduced NARMA-L2 multivariable control law, Qin has designed a dual-variable controller that calculates the engine's control variables and manages the fuel flow and critical interface area of the exhaust nozzle.

Career Highlights

Haiqin Qin is affiliated with Nanjing University of Aeronautics and Astronautics, where he continues to advance his research in control systems. His innovative work has garnered attention in the academic and engineering communities.

Collaborations

Some of his notable coworkers include Jinquan Huang and Jie Tang, who contribute to the collaborative research efforts in their field.

Conclusion

Haiqin Qin's contributions to neural network-based control methods exemplify the intersection of innovation and technology in engineering. His work not only enhances control systems but also paves the way for future advancements in the field.