Background and Scope


IFAC Symposium on Robust Control Design (ROCOND) is the main event organized by IFAC TC 2.5 on Robust Control. Over the last three decades, robust control has been a central topic in the control field, and has made great progress in establishing theoretical principles, numerical methods and effective algorithms for the analysis and synthesis of complex engineering control systems. Even though robust control is a matured field, recent topics related to big data, AI, and machine learning bring new challenges and opportunities in robust control.

Previous ROCONDs were held in Rio de Janeiro (1994), Budapest (1997), Prague (2000), Milan (2003), Toulouse (2006), Haifa (2009), Aalborg (2012), Bratislava (2015) and Florianopolis (2018). ROCOND’22 will celebrate its 10th event. ROCOND’22 was going to be the first ROCOND to be held in Asia. However, the organizing committee made a decision to turn ROCOND’22 into a virtual symposium in view of international circumstances.

Objectives


The objective of the IFAC Symposium ROCOND’22 is to provide a forum for professionals, theorists, researchers, engineers and students involved in the broad field of Control Engineering to integrate and exchange their knowledge, experience, results and ideas in diverse areas of robust control design, and to explore latest theoretical developments as well as control applications in various industries.

Topics


ROCOND’22 covers a wide range of research directions in control theory and applications. The topics of interest include the following, but are not limited to:

  • Robust control
  • Robust stability and performance analysis
  • Robust nonlinear control
  • Robust adaptive control
  • Robust control for distributed parameter systems
  • Control applications (e.g., aerospace, automotive, process control, mechatronics, communications, system biology, power systems, power electronics, electrical machines, etc.)
  • Robust optimization
  • LMI and convex optimization in Control
  • Computational methods in Control
  • Identification for robust control
  • H-infinity control, identification, and estimation
  • Analysis of big data affected by uncertainties
  • Fault detection in uncertain systems
  • Hybrid systems
  • Networked systems (coordinated control, cooperation, control under communication constraints, etc.)
  • Model and controller reduction
  • Optimal control and dynamic optimization