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





Industrial Projects
See some of the projects our clients and partners have carried out with our support.
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
ELO-X: Embedded learning and optimization for the next generation of smart industrial control systems
Marie Curie Innovative Training Network (ITN)
EU H2020
2021 – 2024
RETROFEED: Implementation of a smart RETROfitting framework in the process industry towards its operation with variable, biobased and circular FEEDstock
EU H2020
2019 – 2023
oCPS: Platform-aware Model-driven Optimization of
Cyber-Physical Systems
Marie Curie Innovative Training Network (ITN)
EU H2020
2016 – 2018
DISIRE: Integrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock
EU H2020
2015 – 2017
See on Horizon Results Platform
Projects Funded by the European Space Agency
VARSITY: Various integration of system study for model-based cybernetics for the control of complex systems
Part of the MELiSSA Project – Funded by the European Space Agency
2021 – 2023
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
GUIBEAR: Prototyping of Bearings-Only Guidance of
Rendezvous in NRO Orbits
Funded by the European Space Agency
2019 – 2021
PaCMAN: Plant characterization unit for closed life support system – engineering, manufacturing & testing
Part of the MELiSSA Project – Funded by the European Space Agency
2018 – 2019
Certifications and Partnerships
ODYS has a certified ISO 9001:2015 Quality Management System for “Consultancy, design, development and implementation of model-based and data-based IT solutions for control and decision support systems, optimization, automation, management and planning”. See our Quality Policy.
