LPVS'18 Background and Scope:

Linear Parameter Varying (LPV) systems have state space representations that depend on time varying parameters. This class of systems can be used to represent several types of dynamical systems such as time varying uncertain, non-linear, switching or multi-models ones. The LPV modeling allows also the design of the so-called LPV controllers, where the control parameters are updated according to the measurable plant varying parameters. In the last 2 decades, LPV systems and control has been an active topic of research in the control systems community. Motivated by this fact, the first IFAC LPVS was organized in Grenoble, France (2015).

This 2nd edition of the workshop, as the 1st one, aims at presenting new results in the field of LPV systems and their applications in real life problems, by bringing together experts from different countries to discuss new trends, exchange new ideas, establish fruitful contacts, and promote interactions among the various fields of interest. The presentation of papers dealing with the application of the LPV models as well as LPV control strategies to practical setups and industry issued papers will also be strongly encouraged.

The Workshop scope will cover the whole area for LPV systems including:

  • Modelling and Identification of LPV systems: Focusing on how to obtain LPV models for nonlinear systems, switching systems, time-delay systems, sampled-data systems, systems with saturation, uncertain systems, polynomial systems, etc.
  • Analysis of LPV systems: stability and stabilization, robustness issues, geometric approaches, structural analysis, etc.
  • Observation and Diagnosis of LPV Systems: sobserver design, fault detection and isolation, etc.
  • Control of LPV Systems: Hinf control, optimal control, predictive control, constrained control, fault tolerant control, virtual reference feedback tuning or data-driven control, sampled-data control, event and self-triggered control, etc.
  • Applications of LPV modeling and control: automotive, aerospace, robotics, chemical processes, biological systems, energy and nuclear, network controlled-systems