Background

This is the sixth event on the subject of robust control design. The previous meetings were held in Rio de Janeiro (1994), Budapest (1997), Prague (2000), Milan (2003), and Toulouse (2006). Starting from this event, the International Symposium on Quantitative Feedback Theory and Robust Frequency Domain Methods will be integrated into ROCOND. The previous QFT Symposia have been held in Dayton (1992), West Lafayette (1995), Glasgow (1997), Durban (1999), Pamplona (2001), Cape Town (2003), Lawrence (2005), and Rehovot (2007)

Scope

The field of robust control provides the theoretical principles and the numerical tools used to design engineering control systems that give adequate performance in an uncertain environment. Since the 1980s, robust multivariable control theory has developed formal methods that deal with key issues ranging from the early theory of disturbance rejection to stability and performance margins optimization. Robust control theory is built on applied mathematics, operations research (optimization) and computer science (complexity theory and the theory of algorithms). Deeply rooted in rigorous mathematics, the aim of robust control is to develop theoretical and computational tools for versatile practical applications ranging from guidance and control of aerospace systems, to control systems for the manufacturing industries, and control of communication systems. As numerical tractability is a critical issue for realistic applications, new optimization tools will be central to the development of the field.

One of the goals of the symposium is to bring together experts from the field of control and optimization with control engineering practitioners. Particular emphasis will be given to new directions and trends in the field.

Topics of interest

Include but are not limited to:

  • Robust Stability and Performance
  • Model and Controller Reduction
  • H-inf and l-1 Optimal Control and Estimation
  • μ Analysis and Synthesis
  • Parametric Uncertainties
  • Quantitative Feedback Theory
  • Frequency domain methods
  • LMI and Convex Optimization
  • Robust Model Predictive Control
  • Robust Adaptive Control
  • Robust Nonlinear Control
  • Computational Methods
  • Fault Detection in Uncertain Systems
  • H-inf Identification
  • Identification for Robust Control
  • Iterative Identification and Control
  • Variable Structure Control
  • Robust Control for Distributed Parameter Systems
  • Switched Systems
  • Applications
    • Vehicle Monitoring, Diagnosis and Control
    • Autonomous Systems
    • Spacecraft Control
    • Flexible Structures
    • Manufacturing Processes
    • Chemical Systems
    • Biomedical Systems
    • Process Control
    • Systems Biology
    • Dynamic Vision
    • Networked Control Systems
    • Robotics
    • Navigation Systems
    • Missile Guidance and Control