Zhongguo Li

Zhongguo Li is a Lecturer in Electrical Engineering at The University of Manchester. Their research interests include Robotics, Control, Communications, and Artificial Intelligence. Li's work focuses on advancing technologies within these fields, contributing to both academic and industrial applications. As a member of the department, they engage in teaching and research activities that align with the university's commitment to innovation and excellence. Their profile page provides further details on their research and academic contributions.

Zhongguo Li is a researcher specializing in distributed optimisation, robotics, resource allocation, learning and control, and autonomous systems. Their work focuses on developing advanced algorithms for multiagent systems, microgrids, and wind farms, with an emphasis on distributed optimization and cooperative control. Li's research explores the integration of learning techniques with control strategies to enhance system performance in dynamic environments. Key contributions include distributed Nash equilibrium seeking, surrogate-based optimization, and dual control methods for autonomous search and source seeking. Their publications highlight applications in energy systems, robotics, and intelligent control, demonstrating a strong focus on scalable and adaptive solutions for complex networked systems.