This track focuses on the latest developments in control theory, including nonlinear and adaptive control techniques. Researchers are encouraged to present innovative approaches that enhance system performance and reliability.

This session will explore robust control methods designed to maintain system stability and performance in the presence of uncertainties. Contributions that address real-world applications and challenges are particularly welcome.

This track examines the integration of mechanical engineering and control systems in mechatronic applications. Papers that highlight novel designs and control strategies for intelligent mechatronic systems are encouraged.

This session focuses on the application of model predictive control (MPC) in various engineering fields. Contributions that demonstrate the effectiveness of MPC in real-time scenarios are highly sought after.

This track delves into the design and implementation of feedback control systems across different engineering domains. Researchers are invited to share their findings on enhancing feedback mechanisms for improved system dynamics.

This session highlights the role of artificial intelligence and machine learning in developing intelligent control methods. Papers that explore the synergy between AI techniques and traditional control systems are encouraged.