Model Predictive Control Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Model Predictive Control
Roland Rathmann
Last position:
Support in Ongoing Project at Automotive Supplier
- closing the safety case
- creation of meaningful traceability matrices and targeted test expansion
- transferring requirements into other database systems
- structuring the requirements, assessing their completeness, and setting up new test cases based on use-case–based test strategies and the results of internal traceability matrices
- partial automation of tasks within a requirement assessment tool
- tools and languages: MS Teams, reqIF, Enterprise Architect, Codebeamer, proprietary tools for creating and evaluating traceability matrices (approx. 1000 x 1000)
Kyung Park
Last position:
Expert, Design-to-Mask Preparation at Robert Bosch Semiconductor Manufacturing Dresden
- Led end-to-end tape-out and photomask preparation for a 300mm automotive semiconductor program, ensuring manufacturability, data integrity, and compliance with automotive quality standards, frame generation, multi-die placement
- Identified and mitigated manufacturing-readiness risks during technology transfer (TI / TSMC 45nm) by implementing reticle, kerf, and alignment optimizations, reducing re-spin exposure, creating alignment, overlay markers, metrology targets, CD-control features, PDM cell
- Coordinated cross-functional stakeholders across design, lithography, manufacturing, and mask vendors to deliver a production-ready mask set under strict schedule constraints
- Performed and calibrated model-based OPC for the 110 nm node, leveraging RET strategies in collaboration with the photolithography modeling team
- Impact: Enabled on-time production release of a safety-critical automotive semiconductor by mitigating tape-out and manufacturability risks under strict quality and yield
Daniel Carton
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Rafal Noga
Last position:
Freelance R&D Engineer Control Systems & Optimization at Self-employed
- Providing services, training and developing solutions.
Reza Mashoufi Louyeh
Last position:
System and Functional Safety Engineer at SENEC
- Conducting safety assessments and hardware analyses (HARA) for microinverters
- Defining and implementing safety functions according to ISO 26262
- Validating and verifying hardware-software combinations in system tests
- Performing Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA)
- Managing requirements and creating safety plans and safety cases
- Using tools like MATLAB & Simulink, C, CAN & LIN, PTC Tool, CANoe, ODIS, DORIS, Doors, Para tool, JIRA
- Using databases, Eagle, Eplan, Proteus as well as Microsoft Office and LaTeX
Christian Weis
Last position:
Consultant & Lecturer at Freelance
- Clients include MPC Capital AG, iib Consult and EBS Executive School
Discover over 15,000 top freelancers
Statistics of experts using Model Predictive Control
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
3 years
Positions per freelancer
9
Top business areas
Product Development, Research and Development, Information Technology
Top industries
Automotive, Education, Information Technology
Certification focus areas
Information Technology, Product Development, Human Resources
Bachelor's degree or higher
100%
Master's degree or higher
80%
Doctorate
60%
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
83%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Germany using Model Predictive Control
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
MPC basics
Model Predictive Control, often called MPC, is a control method that looks ahead before it acts. It uses a model of the process to choose the next control move while respecting limits, targets, and future behavior. That makes it useful where steady output and safe operation matter.
Where it fits
It is common in systems that must balance performance and constraints:
- chemical and process plants
- energy storage and power conversion
- robotics and motion control
- HVAC and building automation
- automotive and battery systems
Core work
Strong professionals define the process model, set objectives, and turn business goals into control rules. They tune horizons, constraints, and penalties so the controller reacts well without being unstable or too cautious. They also validate behavior in simulation before deployment.
Tools and stack
MPC work often combines MATLAB/Simulink, Python, C/C++, and PLC or SCADA integration. Depending on the system, specialists may also use state-space models, optimization solvers, digital twins, and embedded targets. In Germany, this often means working with local plants, machine builders, and energy teams in English or German.
When to bring in help
Companies usually seek freelance Model Predictive Control expertise when a process is hard to stabilize, energy use is too high, or an existing controller cannot handle changing conditions. It is also common during new machine launches, retrofit projects, and model updates. A good freelancer can move from theory to working code fast.
What good specialists deliver
Look for professionals who can explain trade-offs clearly, not just write equations. They should understand constraints, sampling time, identification data, robustness, and fallback behavior. The best MPC experts leave behind testable models, readable tuning choices, and control logic that operators can trust.
Frequently asked questions
Need clarity? These are the questions we hear most often about Model Predictive Control.
Model Predictive Control is used to keep a process close to its target while respecting hard limits. Companies use it for process plants, energy systems, machine motion, HVAC, and other systems where simple control logic is not enough. It is especially useful when future behavior matters as much as the current state.
MPC plans several steps ahead, while PID reacts mainly to the current error. That makes MPC better when there are constraints, delays, or many variables that influence each other. PID is simpler and often enough for basic loops, but MPC usually fits more complex plants.
A strong Model Predictive Control specialist usually knows process modeling, optimization, and system identification. Skills in MATLAB/Simulink, Python, C/C++, PLCs, and SCADA are common depending on the target system. Domain knowledge matters too, especially in chemical, energy, or industrial automation projects.
You do not need a complete controller design to start, but you do need a clear process goal, available data, and system constraints. A Model Predictive Control freelancer can help shape the scope if the model is still rough. The better the process description and test data, the faster the work can move.
Yes, Model Predictive Control work is often done remotely because much of it starts with models, data, and simulation. For plants or machines in Germany, on-site time can still help during measurements, commissioning, or operator testing. Many teams use a mixed setup with remote design and local validation.
No, MPC is not always the right choice. It is stronger when constraints, interactions, and prediction matter, but it also needs a reliable model and more engineering effort. Simple rule-based control can be better for small, stable systems with limited risk.
Look for someone who can show how the controller behaves under load changes, disturbances, and constraint violations. A strong MPC professional explains why certain horizons, weights, and limits were chosen and can defend the tuning with test results. Clear documentation and a safe fallback strategy are also important.
Model Predictive Control is often shortened to MPC, and searchers usually mean the same method. In some industries, people also talk about predictive control or advanced process control, but those labels are not always exact synonyms. A good freelancer should be able to work with the term used in your project and map it to the right control approach.
The average hourly rate of freelancers in Germany who have used Model Predictive Control in their recent projects is 107 €, which corresponds to a daily rate of about 859 € based on an 8-hour working day.
Of the freelancers in Germany who have used Model Predictive Control in their recent projects, 100% hold at least a Bachelor's degree, 80% hold at least a Master's degree, and 60% hold a doctorate.
On average, freelancers in Germany who have used Model Predictive Control in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Germany who have used Model Predictive Control in their recent projects are German (100%), English (83%), and Spanish (50%).
The most common industries among freelancers in Germany who have used Model Predictive Control in their recent projects are Automotive (67%), Education (67%), and Information Technology (67%).
The most common business areas among freelancers in Germany who have used Model Predictive Control in their recent projects are Product Development (100%), Research and Development (83%), and Information Technology (67%).
Main locations of FRATCH Experts, who have recently used Model Predictive Control
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
