==== Open invited track on embedded predictive control and optimization at IFAC World Congress, Toulouse, 2017 ====

==== Update: There are 28 papers submitted to this open invited track ====

The open invited track covers the design methodologies and technologies for solving (linear constrained or nonlinear) optimal control or estimation problems by considering the limited resources imposed by real-time constraints or by the dedicated hardware of a specific industrial application. 

There are multiple aspects driving the research on this topic and which have witnessed significant advances: nonlinear control problem formulations that lead to efficient embedded optimization algorithms; developments on the numerical methods; computer aided embedded optimization tools; embedded optimization software and hardware implementation technologies. 

Contributions are expected on topics as: 

  * Numerical solvers for embedded optimization (linear, quadratic and nonlinear)
  * Hardware and software for real-time embedded predictive control and optimization 
  * Parametric programming and explicit MPC 
  * Embedded MPC and moving horizon estimation 
  * Complexity reduction, approximation and sub-optimal methods 
  * Verification and validation 
  * Modelling, simulation and robustness in embedded MPC 
  * Applications in mechatronics, automotive, power systems, robotics, autonomous vehicles, medical devices, etc.

This open invited track session will welcome contributions on these topics and offer a forum for discussions between the participants from industry and academia.
IFAC World Congress open invited track submission code: **2cyk7**
 
The Open Invited Track on [[https://www.ifac2017.org/sites/www.ifac2017.org/files/IFAC17_0029_MS_TS23.pdf|Embedded Predictive Control and Optimization]] is part of the 20th World Congress of the International Federation of Automatic Control (IFAC). The IFAC World Congress, 9-14 July 2017 is held in Toulouse, France. More information about the IFAC World Congress and the submission procedure can be found on the conference [[https://www.ifac2017.org/submit|website]].