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




Industrial Projects
See some of the industrial project we have carried out, for which our clients have allowed disclosure.
See more of our industrial projects »
Some of our Clients
Funded Projects
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
GUIBEAR: Prototyping of Bearings-Only Guidance of
Rendezvous in NRO Orbits
Funded by the European Space Agency
2019 – 2020
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
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
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.
ODYS is a member of the MathWorks Connections Program as a product partner with their product, ODYS QP Solver. MathWorks is the world’s leading developer of technical computing software for engineers and scientists.