Kanghong Shi

Dr. Kanghong Shi is affiliated with The University of Sydney, contributing to advanced research in control systems and nonlinear dynamics. His work focuses on negative imaginary systems, hybrid integrator-gain systems, and their applications in MEMS nanopositioning, power systems, and networked control. He has authored numerous peer-reviewed articles in top journals like IEEE Transactions on Automatic Control and conferences such as the IFAC Symposium on Nonlinear Control Systems. His research emphasizes theoretical foundations and practical implementations, addressing challenges in system stability, feedback equivalence, and robust control.

Research Interests: Control theory, nonlinear systems, negative imaginary systems, hybrid systems, MEMS technology, power systems stability, and consensus protocols in networked systems. His methodologies often integrate passivity theory and advanced control design principles.

Publications: Over 15 articles since 2020, with recent works exploring discrete-time HIGS-based control, neural ODEs for mechanical systems, and unified voltage/frequency/angle control in electrical grids. These contributions highlight advancements in both theoretical frameworks and real-world applications.

Labs/Teams: While not explicitly stated, his research aligns with control engineering and robotics groups at The University of Sydney, likely collaborating on cutting-edge automation and systems projects.