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 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 website.