Ruigang Wang

Dr. Ruigang Wang is a Research Fellow at the Australian Centre for Field Robotics (ACFR) within the Faculty of Engineering at The University of Sydney. His work focuses on advanced control theory, machine learning integration into control systems, and nonlinear systems analysis. Key areas include model predictive control (MPC), robust stability guarantees for neural networks, and distributed control architectures for industrial and robotic systems.

Research interests span:

• Nonlinear Control & Stability Analysis
• Machine Learning for Control (neural networks with certified robustness)
• Model Predictive Control (MPC) for nonlinear/uncertain systems
• Robotic Systems & Field Robotics
• Optimization-based control strategies
• Energy storage and microgrid control

Publications emphasize theoretical contributions to contraction theory, Lipschitz-bounded neural networks, and MPC applications. Recent work includes stable-by-design neural feedback policies (Youla-REN), convex parameterizations for robust recurrent networks, and distributed control frameworks for plantwide systems.

Labs/Teams: Core member of the Australian Centre for Field Robotics, collaborating with leading researchers in control systems and robotics.