Embedded MPC for Next-Gen Controls

We are specialized in developing Model Predictive Control (MPC) systems for next-gen controls in industrial production. Based on more than 25 years of scientific research, our expertise covers advanced multivariable control design, efficient real-time optimization algorithms, and tools for their deployment in production. We focus on embedded systems and applications in the automotive, aerospace, energy, and process control domains.

Read more about our QP solver and embedded MPC toolchain. Have a look at our consulting and engineering services and some of the projects we have carried out.

Why using MPC

Model predictive control has a long history of success in the process industries. It is a universal, advanced process control methodology to achieve the best closed-loop performance under constraints by optimally coordinating multiple inputs. Compared to more classical methods such as single PID’s, anti-windup schemes, and lookup-tables, MPC is more intuitive to design, calibrate, and reconfigure. MPC solutions are easier to adapt to different applications and provide great scalability in large production programs where the same control strategy needs to be applied to different versions of the same product. Also, MPC can provide good resilience in case of actuator failure. The time to market of MPC-based products is usually shorter than with traditional controls.

ODYS Embedded MPC enables the use of advanced MPC techniques also in fast-sampling applications on embedded platforms, such as those encountered in automotive, aerospace, and robotic systems. For example, ODYS Embedded MPC runs on standard Electronic Control Units (ECUs) in commercial vehicles to solve multivariable MPC problems in real-time, despite the limited computational and memory resources available.

Application Domains

• Automotive
• Aerospace
• Energy
• Process Control

We help automotive engineers developing advanced control systems based on embedded MPC and machine learning.

We have experience in engine control, powertrain coordination, autonomous driving, vehicle dynamics, valet parking, exhaust aftertreatment, on-board diagnostics (OBD), and more.

We design advanced real-time software tools for guidance, navigation, and control in the space industry. Applications include satellite attitude control, space rendezvous, and autonomous navigation of drones.

We design real-time management systems that can control power flows in smart grids and place bids on the energy markets, to maximize profits in a risk-sensitive way under uncertainty due to load, energy prices, and renewables.

Process engineers in the pulp and paper, steel, petrochemical, and pharmaceutical industries take advantage of our know-how in embedded MPC to develop customized process control solutions that optimize productivity and save energy under the best use of available resources.

Industrial Projects

See some of the industrial projects we have carried out, for which our clients have allowed disclosure.

See more of our industrial projects »

Some of our Clients

Projects Funded by the European Commission

Projects Funded by the European Space Agency

PaCMAN: Plant characterization unit for closed life support system – engineering, manufacturing & testing – Phase 2
Part of the MELiSSA Project – Funded by the European Space Agency
2021 – 2023

Certifications and Partnerships