This inventor holds 1 USPTO granted patent. Top assignee: Shanghai Maritime University. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: The Innovative Mind of Lizhe Yang
Introduction
Lizhe Yang is a prominent inventor based in Jiaozuo, China. He has made significant contributions to the field of unmanned surface vehicles through his innovative patent. His work focuses on enhancing the efficiency and accuracy of course planning for these vehicles.
Latest Patents
Lizhe Yang holds a patent for an "Intelligent course planning method and controller for unmanned surface vehicle." This invention provides an overall optimization from the starting point to the endpoint of course deflection angle. It utilizes an optimization principle of approximate dynamic programming to minimize course deflection angle and control signals. The design incorporates a virtual radial basis function neural network and a least square method, ensuring stability and convergence through a positive-definite constraint of the Hessian matrix of the performance index. Compared to related technologies, his method reduces overshoot in course deflection and control signals, optimizing flight and steering energy consumption. This data-driven approach allows for intelligent course planning and high-accuracy feedback adjustments.
Career Highlights
Lizhe Yang is affiliated with Shanghai Maritime University, where he continues to advance research in unmanned surface vehicles. His academic and practical contributions have positioned him as a key figure in this innovative field.
Collaborations
He has worked alongside notable colleagues, including Guichen Zhang and Siyu Zhang, contributing to various projects and research initiatives.
Conclusion
Lizhe Yang's innovative work in unmanned surface vehicle technology exemplifies the impact of intelligent design and optimization in modern engineering. His contributions are paving the way for advancements in autonomous navigation systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile