Over the last three decades, robust control has been a topic of active research and development of new theoretical principles, numerical methods and effective control algorithms to design and implement complex engineering control systems that provide adequate performance and stability when implemented in real plants.

Rocond'18 will be the ninth event on the subject of robust control design. Previous meetings were held in Rio de Janeiro (1994), Budapest (1997), Prague (2000), Milan (2003), Toulouse (2006), Haifa (2009), Aalborg (2012) and Bratislava (2015). In 2018, it will complete the 24th anniversary of the first ROCOND which was also held in Brazil at Rio de Janeiro.

Objectives:

The objective of the IFAC Symposium ROCOND’18 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:

Emphasis will be put on current challenges and new directions in development of theoretical and computational tools for versatile practical applications implemented on advanced control systems (networked, embedded, distributed control systems) and are not purely devoted to robust control design.

The topics of interest include the following, but are not limited to:

• Robust stability and performance
• Mu-analysis and synthesis
• Structured and unstructured uncertainties
• Robust model predictive control
• Robust adaptive control
• Robust nonlinear control
• Model and controller reduction
• Identification for robust control
• H-infinity identification
• Iterative identification and control
• H-infinity and optimal estimation
• Quantitative feedback theory
• Frequency domain methods
• LMI and convex optimization
• Computational methods
• Fault detection in Uncertain Systems
• Robust control for distributed parameter systems
• Optimal control and dynamic optimization
• Hybrid systems control
• Networked Systems (coordinated control, cooperation, control under communication constraints, etc.)
• Control applications (e.g., aerospace, automotive, process control, mechatronics, communications, system biology, power systems, power electronics, electrical machines, etc.)