Embedded MPC for Next-Gen Controls

We specialize 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, state-of-the-art optimization algorithms, and efficient and robust software implementation. We focus on real-time embedded systems and have experience in the automotive, aerospace, robotics, energy, and process control domains.

ODYS Real-Time Optimization and Embedded MPC software is currently running on more than 3 million vehicles worldwide.

Read more about ODYS Embedded MPC and ODYS QP Solver. Have a look at our consulting and engineering services and some of the projects our clients have developed with our help.

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 look-up tables, MPC is better suited to deal with constrained, multivariable systems. Also, MPC can provide good resilience in case of actuator failure. In our experience, the time to market of MPC-based products is usually shorter than with traditional controls.

ODYS Embedded MPC allows our clients to develop advanced MPC systems also for high-frequency and/or embedded applications, such as those that can be encountered in automotive, aerospace, and robotics.

Application Domains

• Automotive
• Aerospace
• Robotics
• Energy
• Process Control

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

We have experience in ADAS, autonomous driving, motion control, powertrain control, 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.

Our tools can be used for a wide range of applications in the robotics domain, from low-level motor control to high-level position and force control, and motion planning for autonomous platforms.

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 projects our clients and partners have carried out with our support.

See more projects »

Some of our clients

Projects Funded by the European Commission

SLIMPEC: A software suite for leaning-based embedded model predictive control
Eureka Eurostars programme, Horizon Europe
2023 – 2026

Projects Funded by the European Space Agency

Certifications and Partnerships