• MPC goes to automotive production

    General Motors and ODYS bring embedded MPC to high-volume production!

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  • Automotive Control

    Real-time MPC solutions for automotive control applications

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  • Aerospace

    Real-time optimization tools for designing guidance, navigation and control modules for space applications.

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  • Energy

    Automated and risk-aware decision strategies for optimal smart grid management and market operations.

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  • Advanced Process Control

    MPC and machine learning solutions for optimizing productivity, quality, energy and costs in industrial processes.

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

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

Advanced Design

We provide consultancy to our clients over the entire MPC design process: problem formulation, modeling, system identification, and calibration.

Efficient optimization

Our state-of-the-art optimization library enables fast and reliable execution of MPC systems in real-time.

Easy Integration

We provide standalone C code that our clients can easily integrate into their software and use in desktop pc or deploy in embedded platforms.

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

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

Embedded MPC for next-gen controls
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.
Embedded MPC for next-gen controls
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.
Embedded MPC for next-gen controls
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.
Embedded MPC for next-gen controls

Industrial Projects

See some of the projects our clients and partners have carried out with our support.

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Some of our clients

General Motors     Ford     Punch Group

    Denso    Astrium     Milltech     Trillary

Projects Funded by the European Commission

ELO-X: Embedded learning and optimization for the next generation of smart industrial control systems
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

Embedded MPC for next-gen controls - RETROFEED
RETROFEED: Implementation of a smart RETROfitting framework in the process industry towards its operation with variable, biobased and circular FEEDstock
EU H2020
2019 – 2023

Embedded MPC for next-gen controls - oCPSoCPS: Platform-aware Model-driven Optimization of
Cyber-Physical Systems
Marie Curie Innovative Training Network (ITN)
EU H2020
2016 – 2018

Embedded MPC for next-gen controls - DISIREDISIRE: 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

Embedded MPC for next-gen controls - MELiSSA
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

Embedded MPC for next-gen controls - GUIBEAR
GUIBEAR: Prototyping of Bearings-Only Guidance of
Rendezvous in NRO Orbits
Funded by the European Space Agency
2019 – 2021

Embedded MPC for next-gen controls - MELiSSA
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.

ODYS is a member of the MathWorks Connections Program as a product partner with their product, ODYS Embedded MPC. MathWorks is the world’s leading developer of technical computing software for engineers and scientists.